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We build fast, modern developer tools in Rust, and a surprising amount of serious software runs on them. Pixi, rattler and rattler-build are open source and used by hundreds of thousands of developers: quant teams in finance, physicists at CERN, biotech labs, and humanoid robot companies you've probably seen videos of. We are also core maintainers of conda-forge, one of the largest open source package ecosystems, and we maintain RoboStack, which gets ROS running on any OS from a single lockfile. When that much software flows through your tools, security stops being optional. Every package that ends up on a laptop, a server or a robot should be traceable back to the source and build that produced it. We're building that for conda today, and we want to extend it to AI models. The engineering team is spread across Europe (Netherlands, Germany, UK, Moldova). This work is based in Berlin, and so is this role. The work Robots increasingly run learned models: vision transformers, RL policies, LLMs. Today those models are usually copied onto machines as large opaque files, with little record of where they came from or what changed. We think models should be shipped like packages: versioned, signed, verifiable, and updated efficiently. You'll work on two related areas. Package security. Signing and verification for conda packages with Sigstore, provenance from source to build to install, SBOMs, and mapping known vulnerabilities onto the packages people actually use. This work goes into Pixi, rattler and conda-forge, and is used by a lot of people. AI models as packages. Taking the same ideas to model artifacts. That includes: A provenance chain from training through packaging to deployment, with signatures that can be verified offline on air-gapped robots A model SBOM format, building on CycloneDX's ML-BOM Delta updates between model versions (full models, fine-tunes, LoRA adapters, quantized variants), so robots don't download gigabytes for a small change Compression that combines model techniques (quantization, pruning, distillation) with what package managers already do well (zstd, content-addressable storage), tuned to the target hardware and network Managing models that get fine-tuned on the robot itself: tracking where those variants came from, validating them, and syncing them back Testing the whole pipeline end to end on real models and real hardware, and measuring latency, bandwidth and model quality A lot of this is new. Part of the job is figuring out which approaches work, measuring them honestly, and writing up what you found. What we're looking for You don't need years of experience. You do need solid fundamentals, curiosity, and the patience to get security details right. Rust, or a strong background in C++, Go or Python and the wish to switch Interest in software supply chain security. Bonus if you've worked with Sigstore (Cosign, Rekor, Fulcio), TUF, in-toto, SLSA or SBOM formats Familiarity with ML in practice: you've trained or fine-tuned a model, know what a LoRA adapter or a quantized model is, and have used PyTorch or similar Basic understanding of cryptography as an engineer: signatures, hashes, certificates, and what they do and don't guarantee You like measuring things and are honest about results that don't work out You live in Berlin or are willing to move here It's a plus if you know package managers from the inside, have worked on model compression or edge inference, have robotics experience, or have contributed to open source. None of this is required. What we offer You'll work on problems few people have solved yet, together with the people who created Mamba, Pixi, rattler and RoboStack. Most of your work will be open source and used by a large community from day one. We pay a competitive Berlin salary, with 30 days of vacation, the hardware you want, a conference budget, and time for upstream open source work. We help with relocation within the EU. Find more English Speaking Jobs in Germany on Arbeitnow

We are Team Purchase Experience and we are part of the Tech & Data team at Thomann.io . We take ownership for a Checkout that makes sealing the deal a joy for our customers and a seamless process for our internal departments - even long after the equipment has been delivered. We refine the Thomann Checkout Funnel , integrate Payment Solutions , enable complex Shipping Scenarios and increase Self-Service capabilities for musicians worldwide . Regular collaboration with other Teams & Departments outside of Thomann.io makes that possible. Currently, we are 8 people working together as a cross-functional team on a daily basis: Aryo, Andrew & Fabian are our Software Engineers collaborating on new features and technical concepts, fixing bugs, writing tests and sharing memes. Soli ensures we can release new features with confidence as our Quality Engineer . Josephine strategizes on how to improve customer satisfaction as our Product Owner while taming our Jira Backlog & Stakeholders. Sven supports on a technical & personal level to remove blockers for our mission as our Engineering Manager . Shirin advocates for our customers while turning complex flows into great experiences as our Product Designer . Eitay uncovers the stories behind our numbers to back up our decisions as our Product Analyst . We innovate, evolve, collaborate: To support us, we are looking for another Senior Software Engineer (f/x/m) proficient in PHP and related Backend Technologies. We work remote, distributed, together: Whether fully remote within Germany or on-site in our offices in Berlin & Erlangen - always as a team, always customer-oriented and data-driven. Here's what you'll be doing Work cross-functionally to refine the customer journey across the order lifecycle. Integrate and optimize local payment methods catering to international markets. Solve Logistics puzzles by tackling complex shipping logic. Increase the observability of our mission-critical applications to spot (and fix) issues before our customers do. Show your API Craftsmanship by building and maintaining internal APIs, while integrating external APIs to connect us to the wider Thomann ecosystem and beyond. Take ownership of features that directly move the needle for the business while tackling technical debt that sharpens your architectural skills. What you should bring to the table At least 4 years of current work experience as a Software Engineer, with a deep understanding of PHP and common frameworks (e.g. Symfony). You are familiar with OOP concepts, common design patterns and complex database structures. You are experienced in first navigating, then improving complex legacy code bases with business requirements & restrictions in mind. You manage code & dependencies with Git & composer. Code quality is important to you, secured by automated tests. Code reviews are not a nuisance to you, but serve as a basis for improving & sharing your knowledge. Daily work happens in English . Since we coordinate closely with our German headquarters, German is a big plus - but if you're an English speaker willing to learn, we'll support you. Our tech stack Shop-Backend: We are on PHP 8.4. We take full responsibility for our framework and adhere to established standards (e.g. PSR) during development. Shop-Frontend: We use React & Typescript on the client side while leveraging Tailwind for styling and design. MySQL & Memcached provide our customers with reliable and fast data. What we have to offer Flexible working hours and location, with the option to go into the office (fully-remote possible) 13th salary in November Further training opportunities with clear development paths for your career Thomann.de employee discount Personal work equipment according to your wishes and regarding your role Regular team events English or German language courses 1:1 sessions with an external coach, for professional development Urban Sports Club discount and more! Check out our Handbook We value inclusion and diversity We pride ourselves on being an inclusive employer that creates a welcoming atmosphere, and value diversity in our teams. We do not make judgements based on ethnicity, nationality, age, marital status, gender identity, sexual orientation, disability status, or religion. Find Jobs in Germany on Arbeitnow

In a nutshell As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company's biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact. All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician. Tricks of the trade You will definitely: Identify and execute improvement possibilities together with other ML Engineers and (product) analysts Collaborate on your project from inception to production, to continuous improvement Develop tools and enhancements for our cloud-based Machine Learning platform You could work on various projects and fields, such as: Demand forecasting: delivery, article, trip volumes, used Picnic-wide Fraud detection: helping us keep troublemakers out of our store Recommendation systems: generating useful in-app grocery suggestions Search and ranking: helping our customers find exactly what they need Predicting delivery drop-off times : making sure we're on-time at every customer's door Vision: ensuring quality control and smooth operations within our warehouses Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning We're looking for Master's degree or higher in AI, Computer Science, Mathematics, or a related field 5+ years of experience in data science or applied machine learning Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles Strong Python and SQL skills Able to define the long-term vision and technical architecture for ML solutions within your domain Experience with Docker, Kubernetes, and CI is a plus Picnic Perks 🫱🏼‍🫲🏾 Teamwork makes the dream work With more than 80 nationalities across 3 countries, you'll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! 💡 Make a difference You'll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you'll also be contributing to making the world a better place! 🥗 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. 🚲 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate 🌎 Relocation If you're moving from another country to join Picnic we make it as smooth as possible for you. We'll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 📆 All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. Find Jobs in Netherlands on Arbeitnow

In a nutshell As a developer working with Salesforce and Python, you'll join the Master Data team. We own the product data everything else runs on — from integrating supplier catalogues, through enrichment and validation, to what a customer sees in the app and what the warehouse needs to plan how a product fits in a tote. Hundreds of colleagues work with the platform every day, handling large volumes of master data across multiple countries, and your job is to make that easier — a validation that catches a bad value before it reaches a customer, a screen that stops taking eight clicks to do one thing. You'll solve data issues and steadily improve the platform. Over time the role grows towards software engineering, deeper into Python and data platform architecture. Tricks of the trade Ownership: Take ownership of a part of the platform, know it well, and grow into the person others come to for it. You'll propose improvements rather than waiting for them to be assigned, and you try things and iterate quickly Maintain and extend: Design, test, evolve, and refine the core aspects of our master data platform with a creative and analytical approach. Keep it healthy by improving existing flows and integrations while reducing complexity Data modeling and quality: Shape how product information is modeled, and build the validation, enrichment and monitoring that keeps it accurate Work with your users: Build relationships with the operational teams who work daily with the platform, understand their pain points, and turn those into improvements Code Review: Review designs and code of teammates Support: Support existing products and work with other developers to resolve incidents, including occasional on-call shifts Technologies we use Salesforce: Apex, LWCs, RESTful integrations, Salesforce Connect Deployments: Salesforce DX & Unlocked Packages IDEs: VSCode, Intellij; scratch orgs Python: FastAPI, Pydantic Data: SQL, Snowflake, dbt Version Control: Git, Github CI/CD: TeamCity We are looking for Bachelor's or Master's Degree in Computer Science, Software Engineering or a related quantitative field 2+ years of experience with Salesforce implementations including Apex Curious and detail-oriented: you pick things up fast, including technologies new to you, like Python or dbt, and you have the patience to chase an inconsistency until you understand where it came from. Using AI tools effectively in your daily work is good evidence of both Genuinely interested in data and the people who depend on it — models, quality, what happens downstream Solid judgement on tradeoffs between configuration and custom code Applies software engineering best practices to Apex/LWC development e.g. triggers, async apex, testing, access and data lifecycle management English skills are on point (no Dutch required) Bonus Points! Good command of Python/Java Experience with master data, product data management or data engineering Understanding of DX and unlocked packages Experience with sharing and security setups of Salesforce Salesforce Certifications Picnic Perks ✍🏼Every expert was once a beginner! You'll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. 💡Make a difference You'll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you'll also be contributing to making the world a better place! 🫱🏼‍🫲🏾Teamwork makes the dream work With more than 80 nationalities across 3 countries, you'll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! 🍎You are what you eat You'll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don't worry, our amazing Picnic barista has you covered. 🚴🏽Stay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! 🔋Attractive package We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries 🌍Benefits for expats It can be daunting starting a new job AND moving to a new country. That's why we offer lots of support for our many expat colleagues, including: Relocation package: If you join Picnic from abroad, we'll cover your trip to Amsterdam, sponsor your Visa, and offer you a month of accommodation while you settle in (as long as regulations allow). In the Netherlands, we offer support with your first tax report as well as arranging the 30% ruling. From health insurance to living arrangements to pet passports, there are always colleagues who've faced the same challenges and are more than happy to help! Find Jobs in Netherlands on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to build the web access infrastructure behind a novel search engine designed for agentic AI. In this role, you will investigate how modern websites communicate with browsers and translate that understanding into production systems operating at internet scale. You will build browser infrastructure and tooling that enables reliable, efficient access to web content across a rapidly changing web. Your responsibilities will include: Research and analyse how modern websites communicate with browsers across the complete request lifecycle Investigate browser fingerprinting, client verification mechanisms, and modern web technologies to enable reliable web access Build tooling for browser instrumentation, debugging, observability, and large-scale experimentation Translate technical research into production systems operating at internet scale Requirements You have 5+ years of experience as a software engineer working on production backend or infrastructure systems, and are an expert in several of the following areas: Browser Technologies Chromium architecture and browser internals Browser lifecycle and navigation Chrome DevTools Protocol (CDP) Playwright, Puppeteer, Selenium, or similar browser automation frameworks Browser instrumentation and debugging Web Platform HTTP/1.1, HTTP/2, HTTP/3 — TLS, DNS, and browser networking Cookies, browser storage, caching, redirects, and session management JavaScript execution and modern client-side rendering Resource loading, page lifecycle, and browser networking Browser fingerprinting concepts and browser characteristics Nice to Have Experience working on browser engines or browser infrastructure Experience reverse engineering browser or web application behaviour Experience building internet-scale distributed systems Go, C++, Rust, or Python Kubernetes and cloud infrastructure We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Netherlands on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to build the rendering infrastructure behind a novel search engine designed for agentic AI. In this role, you will design systems that transform modern web applications into high quality structured content for search and AI. You will work on browser rendering, JavaScript execution, and large-scale rendering infrastructure capable of processing billions of pages efficiently. Modern websites increasingly rely on client-side rendering, dynamic data loading, and complex application frameworks. Your work will ensure we can reliably render, understand, and extract valuable information while minimising cost and latency. In this position, your responsibility will be to: Design and build large-scale rendering systems for modern web applications Develop browser-based rendering infrastructure capable of executing complex JavaScript applications reliably Research how modern frontend frameworks render and deliver content Improve rendering quality, completeness, and performance across diverse websites Optimise rendering cost, latency, resource utilisation, and throughput at internet scale Translate rendering research into reliable production systems You may be a good fit if you: Have 5+ years of experience as a software engineer working on production backend or infrastructure systems and are an expert in several of the following areas: Browser Rendering Chromium rendering pipeline — DOM, Layout, Paint, and Compositing JavaScript execution inside browsers and rendering lifecycle and page readiness Headless browser execution and browser instrumentation Chrome DevTools Protocol (CDP) Playwright, Puppeteer, Selenium, or similar frameworks Modern Web Applications React, Vue, Angular, Svelte, and modern frontend architectures Server-side rendering (SSR), client-side rendering (CSR), and streaming rendering Single-page applications (SPA) and Progressive Web Apps (PWA) Resource loading, lazy loading, and modern JavaScript bundles Strong candidates may also have experience with: Building and operating high-throughput content processing pipelines at internet scale Distributed systems design and performance optimisation Open-source contributions or active involvement in the engineering community Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in Netherlands on Arbeitnow

Design, deliver and operate the AI platforms that power our customers' most critical systems At Schuberg Philis, we do more than deliver IT solutions. We design, build and operate business-critical systems that our customers rely on every day. From infrastructure to cloud-native platforms, every layer is engineered for maximum reliability and quality. Working closely with our customers, we ensure their most important processes continue to run smoothly, no matter how complex the environment. We are looking for an experienced GenAI Python Engineer to join a small, close-knit and self-managing team. Our mission is to design and develop advanced AI platforms, AI-powered solutions and applications that transform the way our customers operate across a variety of industries. These platforms provide the foundation for innovation, reliability and scalability, supporting critical business processes in high-security environments. The solutions built on top of these platforms fundamentally change how our customers run their businesses. Our Ideal Colleague Has Experience With: At least 6 years of proven commercial experience in a professional software engineering environment. Designing, building and maintaining Generative AI applications, including deploying and operating them in production using Python. Hands-on experience with GenAI frameworks, libraries or platforms such as LangChain, TensorFlow, PyTorch or FastAPI. Working with Generative AI models in production environments, both open-source and proprietary, including models such as GPT, Llama and Claude. Implementing and optimizing core GenAI components, including vector databases, embeddings, chunking strategies and evaluation frameworks. Driving architectural decisions and contributing to the long-term technical vision of a platform or product. Leading technology adoption and change management initiatives to ensure cutting-edge solutions deliver measurable business value. Everyone we work with and consider working with has a right to equal treatment. The hiring and appraisal process at Schuberg Philis is designed to be thorough and equitable, implementing fair payment, benefits, and opportunities across all demographics. It is our desire to be a company that brings together multiple nationalities, cultures, religions, genders, abilities, and talents within and across our teams. We welcome colleagues from diverse backgrounds to join Schuberg Philis and actively support diversity and inclusion in the tech industry. Find more English Speaking Jobs in Netherlands on Arbeitnow

About The Opportunity We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity What You'll Deliver Task Engineering: Evaluating Coding Agents. Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. Prompting & Translation: finding failure points where AI does not work, in your native language Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. Qualifications Experience: 5+ years of industry experience in software engineering. Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: Encoding/decoding robustness and Unicode normalization. Locale-dependent conventions (collation, casing, non-Gregorian dates). Text I/O, toolchain interoperability, and safe string operations. (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. Why Collaborate with Lilt? Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. Work on projects that actually matter . Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. What to Consider Before Applying Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our expert community 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at ----- style="min-height:1.5em"> LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Find Jobs in Netherlands on Arbeitnow

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The design team at Planet is looking for a Senior Product Designer to shape Planet's platform experience (insights.planet.com - free trial available). In this role, you will be responsible for defining the core user journeys across our platform, addressing the needs of different user types (from admins, to developers, to end users). With a relentless focus on those users, you will define jobs-to-be-done and design end-to-end user flows across web frontends and agentic workflows. You will collaborate closely with Product and Engineering to decompose these workflows into scalable, reusable UX building blocks, ultimately crafting a cohesive, user-centric platform experience. The perfect candidate brings a track record of designing sophisticated, data-heavy geospatial applications. This role is full stack, in the design sense: you take a problem from discovery with users all the way to designing and building the interfaces, side by side with our engineers. This is a full-time, hybrid role which will require you to work from our Berlin or Haarlem office 3 days per week. Impact You'll Own: Product Design Ownership: Lead the end-to-end process from discovery and prototyping to high-fidelity design. Geospatial Interface Design: Create intuitive, powerful geospatial interfaces that translate complex data into actionable insights. User Research: Gather feedback and conduct user interviews in close collaboration with product partners. UI Architecture: Define and architect the interaction patterns and design system for Planet's platform. Cross-functional Collaboration: Partner with product and engineering to ensure top-tier design quality. Culture: Help build and elevate Planet's design culture. What You Bring: 6+ years designing complex digital products, with a track record of shipping technical, SaaS, or B2B software end to end. Bachelor's degree in design or an equivalent field. A portfolio with geospatial or data analytics work: interactive maps, layered geospatial data and time series (time sliders, change over time, comparisons), plus the statistics and charts that turn data into an insight. Solid core craft in UX/UI, interaction design, prototyping, accessibility, and visual design, plus Figma and enterprise design systems. An AI-native way of working. You can prototype in code with AI coding assistants, and you're comfortable with Git and merge requests. Research you run yourself: user interviews and usability testing, synthesized into clear product direction. Comfort with ambiguity. You take vague, complex problems and drive them to a validated solution without daily oversight. A dynamic, iterative, low-ego way of working with PMs, engineers, and other designers. What Makes You Stand Out: Experience designing for developers, data scientists, or AI agents. Hands-on with remote sensing analysis and familiarity with geospatial standards. You enjoy meeting customers and are open to travel within Europe. Experience helping a team adopt new ways of working. Application Deadline: 11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off Compensation: The expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses and/or equity. Netherlands Salary Range €66.600 — €83.300 EUR San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to ----- or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact ----- with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. Find Jobs in Netherlands on Arbeitnow

(FEQ128R2) The Role As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. The impact you will have: Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. What we look for: Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distributed processing (Apache Spark™, Delta Lake, SDP) and real-time streaming technologies (Spark Streaming, Kafka, CDC). AI-First Builder Mindset: Demonstrated daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation. Production Programming & Foundations: Strong production coding skills in Python, SQL, and Scala or Java, with a solid grasp of data modeling and system design fundamentals. Customer Advisory & Delivery: 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions. Operational & HTAP Architectures: Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and hybrid transactional/analytical processing. Nice to haves: Cloud & Migration Mastery: Hands-on experience with major cloud platforms (AWS, Azure, GCP) and legacy data lake modernisation (e.g., Hadoop migration and cost optimisation). Application Experience: Background in constructing specialised data applications (e.g., risk modelling, fraud detection, customer lifetime value) across industries as a data expert. Ecosystem & Culture Contribution: Active track record of technical community engagement, public speaking, open-source contributions, or peer mentoring and interviewing. Flexibility & Travel: Ability to travel up to 30% for strategic customer engagements and internal alignment. Notes on the role: This will be an office-based contract (Amsterdam), with a hybrid schedule, requiring up to 30% travel when needed for customer visits, events & trainings. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in Netherlands on Arbeitnow

IN SHORT Are you a versatile problem-solver who wants to write software that impacts the physical world? As a Full Stack Software Engineer (100%) in Zurich, you will be at the core of our operations, building systems that touch everything from warehouse automation to customer-facing smart fridges. YOUR RESPONSIBILITIES Take ownership of warehouse and supplier web apps used daily for inbound processing, picking, labeling, and inventory. Develop and maintain our internal back-office tool, including the backend and GraphQL API that runs menus, deliveries, inventory, and customer sites. Manage the service connecting automated picking lanes to the rest of the system to ensure uninterrupted warehouse operations. Maintain and update the Point of Sale Android app running on hundreds of fridges, managing the release process for the entire fleet. Integrate and support payment systems (Card, TWINT), our ERP, and other partner integrations. Participate in the on-call rotation to debug live issues directly alongside the operations team. Visit the warehouse on-site to test changes and gather feedback from the people actually using the software. Translate vague problems from non-technical colleagues into shipped solutions without needing them broken down first. Own production deployments, managing logs, alerts, and careful rollouts with clear rollback plans. Break down larger features, review other engineers' pull requests, and proactively maintain system health through upgrades, testing, and cleanup. YOUR PROFILE Proven production experience in at least one typed backend language (such as C#, Java, Kotlin, Go, or TypeScript) and one modern frontend framework. Track record of successfully owning software in production, including on-call duties, debugging from logs, and resolving live issues while users wait. Familiarity with or willingness to dive into C#, TypeScript, Android, and Kotlin. Prior exposure to hardware, IoT, edge devices, payments, logistics, retail operations, or Odoo environments is highly advantageous. Demonstrated ability to dive into unfamiliar tech stacks, learn quickly, and ship reliable code. Strong passion for collaborating directly with end-users, including warehouse and operations staff, rather than exclusively with other engineers. High degree of curiosity and a proactive mindset to take full ownership of problems from end to end. Fluent English communication skills (written and spoken); knowledge of German or French is a plus. Non-smoker - we don't want you to smell like cigarettes, neither at work nor at customer meetings. After all, FELFEL is about good food. Valid work permit or Swiss passport. OUR BENEFITS Lots of delicious food, just a few steps away from your desk - we make your gastronomic dreams come true Best barista coffee and tea for the whole team, thanks to our innovative Gavetti coffee machine 5 weeks holiday per year, as well as the chance to buy an extra week of vacation Two full weeks of 'work from anywhere' per year to bring more variety to your work day We care about your future with an above-mandatory pension fund New parents get 16 or 3 weeks, respectively, of fully paid parental leave. We also support the return to work by making a generous financial contribution to childcare until the child reaches kindergarten age. We encourage our employees to use public transport by covering your half-fare travelcard Great team events, such as our well-known FELFEL Summer Outing Stay active and healthy with our weekly sports sessions Does this sound like the job for you? We can't wait to learn more about you! APPLY NOW with your complete documents in either German or English. ABOUT US FELFEL is all about good food and coffee in the workplace: we help Swiss employers become masters of hospitality. With our smart fridge 'FELFEL' and delicious barista coffee 'Gavetti', we enable companies to provide their employees with first-class, ultra-fresh food and drinks throughout the day. Whether hearty and traditional, modern and vegan or high in protein - our weekly changing menu ensures that all employees always have something to be excited about ;). FELFEL is a family business that was founded in 2013. Today, we take care of around 1000 locations in Switzerland, and have 150 employees across our offices in Lausanne, Zurich and New York. www.felfel.ch Find Jobs in Switzerland on Arbeitnow

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description We are looking for a skilled Software Engineer to join the CI Experience squad within our Code Orchestration department. The CI Experience squad enables users to analyze their projects in their own CI, making analysis a core part of their workflow. We have a mission to make analysis reliable, fast, configurable and developer-friendly. What you will do Collaborate with product managers, UX designers, and engineers to build the best CI-based analysis experience. Contribute well tested and production ready code. Participate in the on-call operation of analysis infrastructure, including feature deployments, production monitoring, incident response, and troubleshooting. Contribute to the definition of the team's short and long-term goals. Experience and qualifications MS in Computer Science (or equivalent experience). 0-3 years of professional software engineering experience. Proficiency with Java. Solid engineering fundamentals: data structures, algorithms, and the ability to reason about correctness and performance Nice to have Familiarity with a variety of build systems and CI runners. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having. Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered. Find Jobs in Switzerland on Arbeitnow