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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Senior Software Engineer (Full Stack) - Merchants Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. We partner with some of the largest grocery retailers in the world, as well as a large number of small independent grocers. The Team: MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands. We're looking for a Senior Software Engineer - Full Stack to join our London team. In this role you'll work across the stack, from the backend services and integrations that handle merchant discovery, matching and onboarding to the web tools sales and operations teams use to quote and sign merchants. You'll own features end to end, partner closely with Product and Design, and lead technical planning as we move core sales workflows off Salesforce and onto our own platform Get to know our Engineering team — what drives us, how we work, and what you can expect. What You'll Be Doing This role is based in our London office with a hybrid setup, typically 3 days in the office. Here's what your day-to-day might look like: Drive technical execution by designing, building, and scaling backend services and frontend components that handle high-traffic workloads (20krpm and above). Lead architectural improvements and code reviews, ensuring the efficiency, visibility, and operational health of your team's systems. Partner with cross-functional disciplines (PMs, Experience Designers) to plan projects, foresee dependencies, and mitigate technical risks. Break down complex problems into deliverable choices, influencing the roadmap and technical direction within your team. Support the growth of others by mentoring colleagues and taking an active role in our engineering hiring process to build high-performing teams. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Significant experience building web-based applications in a modern stack; we use Go, Ruby, Python, and Scala, and we're looking for someone keen to work across them. Proven ability to design and operate web architecture at scale , specifically with systems handling significant request volumes. Demonstrated ownership of relational databases (PostgreSQL, MySQL) and experience with "NoSQL" backends such as Redis, DynamoDB, or Elasticsearch. A commitment to software craft , with a pride in writing readable, well-designed, and thoroughly tested code. Strong collaborative leadership skills , with a track record of guiding implementation choices and supporting the personal growth of teammates. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. We're looking for a Software Engineer to join our London team. In this role, you'll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You'll Be Doing You'll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here's what your day-to-day might look like: Design and scale backend services for our real-time marketplace using languages such as Go, Ruby, or Python. Improve code structure and architecture by participating in deep technical discussions and reviewing code across your team's remit. Enhance system reliability by focusing on visibility, monitoring, and the overall health of production systems. Collaborate across teams to identify integration opportunities and influence the technical roadmap within your domain. Take an active role in the hiring process, conducting engineering interviews and supporting the growth of your peers. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Pride in readable, well-designed, and well-tested software, with a focus on long-term maintainability. Experience writing web-based applications in any modern language (Go, Ruby/Rails, Python, Scala, or Rust). Solid understanding of relational databases (such as PostgreSQL or MySQL). Familiarity with web architecture at scale, ideally handling high-traffic environments (20krpm and above). Exposure to NoSQL data backends or caching layers like Redis, DynamoDB, or ElasticSearch. A problem-solving mindset, particularly when applied to complex logistical or marketplace challenges. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find more English Speaking Jobs in United Kingdom on Arbeitnow

As Staff Engineer / Tech Lead Azure/.NET, you'll own the technical direction of our .NET and Azure platforms - leading the design of scalable, cloud-native solutions across a landscape that spans .NET and PHP-based e-commerce systems. You'll split your time between hands-on architecture work and technical leadership: driving key engineering decisions, mentoring engineers, and pushing the modernization of our platforms forward. You'll work closely with Software Engineers, DevOps, QA, and Product, and your decisions will directly shape engineering excellence, reliability, and developer productivity at Klarstein. What you will do: Own the architecture and technical direction of critical services, leading the design and implementation of complex backend and cloud-native solutions Lead technical investigations, proof of concepts, and modernization/refactoring strategies — identifying technical debt and driving pragmatic long-term platform improvements Collaborate across .NET, PHP, DevOps, QA, Product, and external teams, translating business requirements into scalable technical solutions Mentor engineers through design discussions, code reviews, pair programming, and technical coaching Drive engineering excellence — best practices in testing, security, observability, and operational reliability, including incident/root-cause support and contributing to engineering standards and documentation Promote AI-assisted engineering practices to improve developer productivity and software quality What we are looking for: 8+ years of professional backend development experience with C# and the .NET ecosystem (ASP.NET Core, .NET 8/10, Entity Framework Core, REST APIs, OpenAPI/Swagger), combined with a strong architectural mindset for designing scalable, resilient distributed systems Proven experience designing cloud-native systems on Microsoft Azure — including microservices, event-driven architecture, asynchronous messaging, and API-first design — with hands-on use of core Azure services (e.g. Service Bus, Event Grid, Azure Functions, App Services, Key Vault, Application Insights) Experience designing secure, cost-optimized cloud architectures (networking, identity/access management, application security), and building production systems with CI/CD, Infrastructure as Code (Terraform preferred), and observability practices Strong experience with relational and NoSQL databases (SQL Server, Cosmos DB, MongoDB) and working across heterogeneous systems — integrating .NET services, PHP applications, and third-party/enterprise platforms (e.g. SAP, REST/SOAP APIs) Track record mentoring engineers, leading technical reviews, and driving engineering standards across teams, ideally within Agile, cross-functional environments (Product, DevOps, QA, architects) Excellent written and spoken English Nice to have: Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor, Windsurf) and using them to improve development, testing, and documentation workflows Deep grounding in clean architecture / domain-driven design principles Direct experience integrating with SAP or comparable large-scale enterprise platforms What we offer: 40% employer contribution to the company pension plan Up to 28 days per year working from abroad (EU) Public transport ticket grant & 30% discount on our products A bright, modern, dog-friendly office right on the Spree in Friedrichshain - rooftop views included, four-legged colleagues welcome Team breakfast every two weeks - where we actually talk, not just stand-up updates Support by a team of highly skilled and dedicated colleagues who celebrate successes together at our company events Who we are: Since 2005, Klarstein has been developing stylish, functional, and affordable home appliances designed for everyday use, and is now one of Europe's leading digital brands. With a consistent end-to-end approach - from product concept and design through quality assurance and marketing to logistics and customer service - Klarstein stands for high quality, reliability, and an excellent price-performance ratio. With approximately 400 employees worldwide, international locations in Europe and Asia, and its own logistics centers, the company serves over 25 million customers in 21 European countries. JOIN THE TEAM! Become part of our Engineering team and help us build the e-commerce experience our customers rely on. Apply easily through our online application form - our People Team is looking forward to your application! KLARSTEIN (Berlin Brands Group) Mühlenstraße 25 10243 Berlin Klarstein – The Story of Innovative Designer Home Appliances Find Jobs in Germany on Arbeitnow

The Role: Our growing team is looking for a senior software engineer to lead the evolution of the infrastructure that turns our science into trustworthy climate results. In this role, you'll own the platform that takes our data, models and estimation methods from R&D to auditable client deliverables, and you'll be a trusted reviewer and guide across software and data engineering. As a small team, you'll also shape how we build our geospatial pipelines and internal analytics. We're looking for someone who has designed and run data-intensive systems in production, makes sound architectural calls, and raises the bar for the engineers around them. You'll work closely with fellow software and data engineers, data scientists and solutions engineers, turning research code into robust, reproducible infrastructure. You will join a cross-functional, mission-driven team dedicated to bringing transparency and integrity to climate action. Impact you'll own: Shorten the path from experiment to production: own how models and estimation features move from research into reproducible, auditable client deliverables, with data, models and environments versioned end to end. Own our developer platform and engineering standards: environments, containers, project templates, CI/CD and pipeline orchestration across a multi-repo Python stack. Own our GCP infrastructure: architecture, infrastructure-as-code, monitoring, cost and access management, and its evolution as the company grows. Shape our geospatial workflows: how we store and process vector and high-resolution raster data at scale, and how the databases behind our models and deliverables evolve as we scale. Be the key reviewer for core and pipeline infra: write design docs for your own areas and review those of others, keeping our architecture coherent as the team grows. Raise the bar across engineering: mentor other engineers, and support our software & data engineering team with feedback and guidance on design and architecture. Over time, coordinate our infrastructure development goals: set priorities and align work across software and data engineering. What you bring: 6+ years of experience in engineering roles, including significant time designing and running data-intensive backend systems and pipelines in production A track record of owning systems end to end: you've made architectural decisions and lived with their consequences, written and reviewed design docs, and mentored other engineers Expert Python and strong SQL, with solid experience designing schemas and data models for production systems Hands-on experience with workflow and pipeline tooling (e.g. Airflow, Dagster), experiment tracking and data versioning Hands-on experience running production cloud infrastructure, ideally GCP; infrastructure-as-code (e.g. Terraform/OpenTofu), IAM, as well as containers and reproducible environments (e.g. Docker, devcontainers) Deep experience across the software development lifecycle (Python packaging, containers, testing strategies, CI/CD, observability) and opinions on how to do it well Clear, direct communication with both technical and non-technical colleagues, and strong motivation to contribute to sustainable development through technology A degree in Software Engineering, Computer Science, or equivalent practical experience What makes you stand out: Production experience with raster data and geospatial pipelines Experience building model serving, model registries or other MLOps tooling (e.g. DVC, MLFlow) Experience building BI or dashboarding tooling (e.g. Streamlit) for non-technical users Experience with data warehouse design (e.g. BigQuery, PostgreSQL, dbt) and data engineering workflows Previous exposure to earth observation, environmental monitoring or soil science data Benefits you can expect: Real ownership and influence over technical direction at an early-stage company Be part of a highly motivated, committed, and international team working on one of society's biggest challenges: climate change Witness and shape the evolution of a new business being built An engineering culture built on designs docs, thoughtful code reviews and shared practices Remote-friendly: up to 4 days/week remote when based in Berlin, or fully remote from elsewhere in Germany, with flexible hours Drinks, snacks, team events, and your choice of hardware Find Jobs in Germany on Arbeitnow

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

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

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

(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

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in Switzerland on Arbeitnow