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Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the Role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. Areas of Responsibility: Core Simulator Architecture : Design, implement, and evolve the foundational architecture of the Skydio Simulator, ensuring it scales across vehicle types, environments, and use cases. Physics and Dynamics : Improve and extend physics models governing vehicle motion, interactions with the environment, and dynamic agents. Sensor and Hardware Simulation : Build high-fidelity simulations of cameras, IMUs, and other onboard components, including timing, noise characteristics, and hardware behavior. Autonomy Stack Integration : Run and validate the full Skydio autonomy stack in simulation, ensuring consistency between simulated and real-world behavior. Feature Development on Top of the Core : Implement simulator capabilities that unlock new workflows for customers and internal autonomy engineers, from training scenarios to advanced testing modes. Performance and Fidelity : Profile, optimize, and improve simulator performance while continuously pushing realism and accuracy. What You'll Do: Develop core simulator components in C++ and Python, working close to real-time constraints. Collaborate with autonomy, perception, and controls engineers to align simulation behavior with real-world systems. Debug complex interactions between physics, sensors, autonomy logic, and rendering. Help shape the long-term technical direction of the simulator as both a product and an internal platform. Contribute to documentation and shared understanding of how the simulator works internally. Qualifications: Strong software engineering experience with C++ and Python. Experience building complex systems where performance, determinism, or correctness matter. Comfort reasoning about time-synchronized systems, state machines, or real-time execution. Ability to work in a large, evolving codebase with multiple stakeholders. Interest in robotics, simulation, or physical systems (prior robotics experience is a plus, not a requirement). Bonus Experience: Robotics, simulation, game engines, or real-time systems. Physics engines, sensor modeling, or hardware abstraction layers. Multithreaded or low-latency system design. Experience debugging systems that span software and physical behavior. Compensation: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Masters, and $70/hr for PhD students. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. Compensation for certain positions may vary based on the position's location. #LI-DK1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/ Find more English Speaking Jobs in Switzerland on Arbeitnow

About Sonio Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents. Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women's medical path. Sonio's mission is to improve women's and children's health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence. About the role We are currently building our next generation of products that provide real-time assistance to practitioners during fetal ultrasound examinations. We build systems that interface with ultrasound machines (multi-platform edge software), stream imaging data to our cloud (real-time web tech), interpret data and images using AI/ML, and push the results back to the practitioner's interface (reactive web apps) - all in near real-time. You will work especially on how Sonio connects with the outside world: integration with healthcare information systems (EHR) and interconnection with ultrasound machines. Some of the key upcoming projects you will work on: Scaling our data ingestion systems, Refactoring how we ingest DICOM data into the system. This is a perfect role for a software engineer who really enjoys systems and building reliable systems when the volume increases a lot in a short amount of time. About the profile Sonio is a mission-driven company, so interest in our mission is critical. Other requirements are: 8-10 years of software engineering experience, with strong system design skills. Experience with a data ingestion system fed by machines (industrial, IoT, or similar distributed machines), and an appetite for infrastructure and data ingestion problems. Exposure to at least one of the following programming languages: Python/Ruby/Go/Javascript/Rust/Elixir/Java/C/C++ with the ability and desire to pick up others if needed. Customer-oriented and user-centric, comfortable talking with clients and non-technical people and going on-site in the US from time to time. Fluent in English; English is the working language. Start-up or scale-up experience is a big plus. Location : Paris Salary : 75-85k + 10% We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at ----- Find Jobs in France on Arbeitnow

At AutoScout24 , our Data Platform Engineering team builds and operates the AWS-based platform that enables teams across the company to work with data independently. Built around Data Mesh principles, it provides the infrastructure, self-service tooling, and governance that allow domain teams to own and manage their data products. As Engineering Manager , you'll lead the team responsible for developing and operating this platform. The role combines people leadership with strong technical involvement, from architecture and complex engineering problems to reliability, performance, and cost optimization. We're also making AI a native part of how our Data Engineering organization works and how people use our platform. This includes bringing AI directly into the daily workflows of Data Engineers and Analytics Engineers, as well as making the platform more intelligent, easier to use, and more accessible to business users. What you'll do Build a team that takes ownership, makes sound technical decisions, and delivers independently. Evolve our AWS-based data platform, making decisions around architecture, reliability, performance, security, and cost. Work alongside engineers on complex technical problems, including hands-on implementation when needed. Develop and improve self-service capabilities for data pipelines, dataset discovery, access management, and data quality monitoring. Strengthen our Data Mesh implementation, including domain ownership, data contracts, access controls, and federated governance. Improve data quality, lineage, and observability through automation and platform-level controls. Work closely with Product, Analytics Engineering, Data Governance, and business stakeholders to understand problems and develop solutions. Integrate AI into existing engineering tools and workflows across Data Engineering and Analytics Engineering, improving how teams develop pipelines, build data models, test changes, review code, and troubleshoot failures. Build AI capabilities directly into the data platform, helping users discover and understand datasets, work with data using natural language, investigate issues, and complete tasks that previously required technical knowledge or manual steps. What we're looking for 5+ years of experience as an Engineering Manager , with a strong track record of hiring, coaching, and developing engineering teams. Strong software or data engineering background, with recent hands-on technical experience and the ability to contribute to complex engineering decisions. Extensive hands-on experience with AI development tools such as Claude Code, Codex, Cursor, or similar. You use these tools extensively in your own engineering work and understand how to use them effectively beyond basic code generation. Proven experience integrating AI into engineering workflows across the SDLC , ideally for Data Engineering or Analytics Engineering teams. You've implemented solutions that engineers actually use in their daily work and can explain how they improved efficiency. Experience building AI functionality into internal platforms or products , rather than just developing standalone chatbots. You understand how to integrate AI with existing tools, data, metadata, permissions, and workflows to make complex tasks easier for users. A product mindset, with the ability to understand business and user needs, challenge proposed solutions, and work effectively with Product and other stakeholders. Deep AWS expertise, particularly in designing, building, and operating production data platforms using services such as S3, Glue, Athena, IAM, MWAA and Lake Formation. Strong understanding of data lake and lakehouse architectures, including storage, processing, metadata, security, performance, and cost. Experience operating large-scale data platforms, troubleshooting production issues, and improving reliability and efficiency. Proficiency in Python and SQL, along with practical experience in infrastructure as code, CI/CD, testing, and software engineering best practices. Practical experience with Data Mesh principles, decentralized data ownership, self-service data infrastructure, and federated governance. Experience implementing data quality, data contracts, observability, and access controls within production data platforms. Strong communication and people leadership skills, with the ability to develop engineers, delegate responsibility, and build an effective, independent team. A culture of growth With over 50 nationalities represented, we're proud to welcome people of all backgrounds to our growing community, and we're always finding new ways to help people feel welcomed and included. Here, you'll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. For a career where you can drive our business and shape your future, apply now. Find more English Speaking Jobs in Germany on Arbeitnow

About Uncovr Uncovr is building AI-powered infrastructure for the future of surgery. We work at the intersection of artificial intelligence, surgical video, clinical workflows, and healthcare technology. Our mission is to help surgical teams better understand, document, and improve surgical procedures by turning complex clinical data into structured, useful, and trustworthy reports. We are a fast-moving startup working on technically ambitious problems with real-world clinical impact. As we expand our platform, we are looking for an exceptional Senior Full-Stack Engineer to help us build the product and infrastructure layer that connects AI systems with real-world clinical users. About the Role We are looking for a Senior Full-Stack Engineer with strong experience building scalable, production-ready applications across web, mobile, cloud, edge, and AI-driven systems. In this role, you will design and build the interfaces, services, and infrastructure that allow clinicians and surgical teams to interact with Uncovr's AI systems. You will work across user-facing dashboards, backend services, cloud systems, and clinical integrations. This is a high-ownership role for someone who can build reliable software in complex environments and collaborate closely with AI researchers, product teams, and clinical stakeholders. Key Responsibilities Design and build scalable full-stack applications that connect AI services with user-facing dashboards, control panels, and clinical workflows. Build robust web and mobile application experiences, including workflows that connect mobile and web interfaces. Collaborate closely with AI researchers and engineers to transform prototypes into reliable, production-grade systems. Build backend services, APIs, data pipelines, and microservices that support AI-powered product features. Integrate Uncovr's applications with clinical systems, including EHR environments such as Epic or similar platforms. What We're Looking For 5+ years of production experience in full-stack engineering, software engineering, platform engineering, or a related technical role. Strong proficiency in Python and JavaScript/TypeScript. Experience building modern frontend applications, ideally with React. Strong backend engineering skills, including API design, databases, data modeling, and service architecture. Experience building scalable full-stack applications that connect complex backend systems with intuitive user-facing interfaces. Experience with cloud infrastructure, containerization, and deployment of production systems. Experience with distributed systems, data pipelines, or microservice architectures. Understanding of mobile application development and how mobile and web applications can work together in a unified product experience. Experience integrating software into healthcare environments, especially EHR systems such as Epic or similar platforms. Ability to work closely with AI researchers and product teams to turn ambiguous requirements into reliable software. Comfort working in a fast-paced, high-ownership startup environment. Nice to Have BSc or MSc in Computer Science, Software Engineering, or a related field. Hands-on experience with EHR integrations, clinical interoperability standards, or hospital IT environments. Prior experience in healthcare, medical technology, digital health, or hospital-facing software. Experience with high-throughput video systems, surgical video, medical imaging, or real-time data processing. Experience with cloud providers such as GCP or similar environments. Experience with Docker, Kubernetes, and modern infrastructure tooling. Familiarity with security, privacy, and compliance expectations in healthcare environments. Interest in surgery, clinical workflows, or medical technology. Who You Are You are a strong full-stack engineer who enjoys building systems that are technically complex but simple and reliable for users. You are comfortable working across frontend, backend, cloud, edge, and clinical integrations. You care about performance, usability, observability, and production quality. You can collaborate with AI researchers on early prototypes, but you know how to turn those ideas into robust systems that clinicians can use in real-world environments. You are pragmatic, ambitious, and comfortable working in a fast-moving startup. You take ownership of complex engineering problems and are motivated by building technology with real clinical impact. Why Join Uncovr At Uncovr, you will help build the product and infrastructure layer behind a new generation of surgical intelligence tools. Your work will directly shape how clinicians interact with AI-powered systems, how surgical video moves from the operating room to the cloud, and how advanced AI capabilities become usable in real hospital environments. This is a high-ownership role for someone who wants to build production software at the intersection of AI, healthcare, video infrastructure, and clinical workflows. Find Jobs in France on Arbeitnow

About Uncovr Uncovr is building AI-powered infrastructure for the future of surgery. We work at the intersection of artificial intelligence, surgical video, clinical workflows, and healthcare technology. Our mission is to help surgical teams better understand, document, and improve surgical procedures by turning complex clinical data into structured, useful, and trustworthy insights. We are a fast-moving startup working on technically ambitious problems with real-world clinical impact. As we expand our platform, we are looking for an AI Engineer to help build, test, and improve the AI systems that power our product. About the Role We are looking for an Senior AI Engineer to help develop reliable, accurate, and production-ready AI capabilities for complex clinical workflows. In this role, you will work on AI system development, model integration, evaluation, testing, and production readiness. You will collaborate closely with product and engineering teams to turn product requirements into AI capabilities that are useful, reliable, and scalable. This is a hands-on engineering role for someone who wants to build practical AI systems in production, not just experiment with models in isolation. What You'll Do Build, test, and improve AI systems that support Uncovr's product. Work on AI workflows, model integration, evaluation, and production readiness. Integrate language models, multimodal models, and AI services into product and backend systems. Help improve AI system reliability, accuracy, latency, and robustness. Build and maintain evaluation workflows for AI outputs across product use cases. Test AI capabilities against real-world clinical and product scenarios. Help identify uncertainty, edge cases, failure modes, and inconsistent outputs. Support the development of validation layers that make AI outputs more reliable and useful. Collaborate with product and engineering teams to translate requirements into working AI capabilities. Contribute to logging, monitoring, error handling, documentation, and test coverage. Analyze feedback, corrections, and evaluation results to improve system behavior over time. Document AI workflows, assumptions, limitations, and known failure modes clearly. What We're Looking For Experience in AI engineering, applied ML, backend engineering, software engineering, or a related technical role. Strong Python skills and good software engineering fundamentals. Experience working with language models, multimodal models, AI APIs, or model-driven systems. Practical understanding of how to build, test, and debug AI-enabled product workflows. Ability to reason about AI system behavior, including errors, uncertainty, hallucinations, and failure modes. Experience integrating AI capabilities into backend services or product workflows. Familiarity with evaluation, testing, benchmarking, or quality checks for AI outputs. Ability to work closely with product, engineering, and cross-functional stakeholders. Strong attention to detail and comfort working with complex workflows. Clear communication skills and a willingness to document technical decisions, assumptions, and limitations. Comfort working in a fast-paced, ambiguous startup environment. Nice to Have Experience with multimodal AI systems, vision-language models, or AI systems using complex data. Experience with video understanding, computer vision, medical imaging, or healthcare AI. Familiarity with retrieval, structured outputs, evaluation pipelines, or AI observability. Experience building evaluation datasets, scoring workflows, or benchmark suites. Experience with human-in-the-loop systems or expert feedback workflows. Familiarity with MLOps, model deployment, or AI infrastructure. Experience working in regulated, high-trust, or safety-critical environments. Interest in surgery, clinical workflows, medical technology, and healthcare AI. Who You Are You are technical, curious, and motivated by building AI systems that work reliably in real-world settings. You enjoy experimenting with AI systems, but you also care about testing, validation, edge cases, and production quality. You are interested in how AI behaves, where it fails, and how engineering can make it more accurate, transparent, and useful. You are comfortable working closely with product teams, engineers, and domain experts. You communicate clearly, learn quickly, and want to contribute to technology with real clinical impact. Why Join Uncovr At Uncovr, you will help build and improve the AI systems behind a new generation of surgical intelligence tools. This is a hands-on role for someone who wants to work on practical AI development, evaluation, and production readiness in a fast-moving healthcare technology company. Find more English Speaking Jobs in France on Arbeitnow

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. We are looking for a Senior Software Engineer to join the Search team. We are responsible the cloud-based scalable architecture for NeuralSearch, our AI search engine, which incorporates both keyword and vector search. Our work consists of distributed components which orchestrate the building and storage of indices containing customer data and then querying that data to return search results. The role requires understanding and solving the challenges that come with complex distributed systems. The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference. YOU WILL: Be a key contributor to the design and development of search at Algolia Be responsible for operations for search including participation in out-of-hours on-call rota Work with a full-remote team, with the option to be either full-remote, hybrid or office based (Paris) yourself Be responsible for the quality and soundness of the system Share your expertise on distributed systems Work with other teams to identify, troubleshoot and resolve high impact issues YOU MIGHT BE A FIT IF YOU HAVE: Experience designing and operating distributed systems in production Experience working with large datasets and high traffic Rigor in high code quality, automated testing, and other engineering best practices Excellent spoken and written English skills Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure). NICE TO HAVE: Experience in Go Experience in Kubernetes Sensitivity to Site Reliability Engineering #LI-Remote Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €67.500 — €94.000 EUR FLEXIBLE WORKPLACE STRATEGY: Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers and to take ownership. CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY - Aptitude for learning from others, putting ego aside. We're looking for talented, passionate people to help build the world's best search and discovery technology. We value autonomy, diversity, and collaboration. We're committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We've recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind: Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page . All genuine communication from Algolia will come from an ----- email address. If you receive an email from someone claiming to work at Algolia who does not have an ----- email address, please do not respond or share any personal information. We'll never ask for payments, purchases, or financial details during the hiring process. READY TO APPLY? If you share our values and our enthusiasm for building the world's best search & discovery technology, we'd love to review your application! Find Jobs in France on Arbeitnow

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. We are looking for a Senior Software Engineer to join the search team. We are responsible the cloud-based scalable architecture for NeuralSearch, our AI search engine, which incorporates both keyword and vector search. Our work consists of distributed components which orchestrate the building and storage of indices containing customer data and then querying that data to return search results. The role requires understanding and solving the challenges that come with complex distributed systems. The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference. YOU WILL: Be a key contributor to the design and development of Search and Indexing Be responsible for operations for Search including participation in out-of-hours on-call rota Work with a full-remote team, with the option to be either full-remote, hybrid or office based (Paris) yourself Be responsible for the quality and soundness of the system Share your expertise on distributed systems Work with other teams to identify, troubleshoot and resolve high impact issues YOU MIGHT BE A FIT IF YOU HAVE: Experience designing and operating distributed systems in production Experience working with large datasets and high traffic Rigor in high code quality, automated testing, and other engineering best practices Excellent spoken and written English skills Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure). NICE TO HAVE: Experience in Go Experience in Kubernetes Sensitivity to Site Reliability Engineering #LI-Remote Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €67.500 — €94.000 EUR FLEXIBLE WORKPLACE STRATEGY: Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers and to take ownership. CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY - Aptitude for learning from others, putting ego aside. We're looking for talented, passionate people to help build the world's best search and discovery technology. We value autonomy, diversity, and collaboration. We're committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We've recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind: Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page . All genuine communication from Algolia will come from an ----- email address. If you receive an email from someone claiming to work at Algolia who does not have an ----- email address, please do not respond or share any personal information. We'll never ask for payments, purchases, or financial details during the hiring process. READY TO APPLY? If you share our values and our enthusiasm for building the world's best search & discovery technology, we'd love to review your application! Find more English Speaking Jobs in France on Arbeitnow

At OneStream, we're on a mission to empower every Finance organization and professional to exceed their potential. Our global teams span continents, cultures, and time zones, united by a shared purpose as we build the operating system for modern Finance and help organizations move with greater speed, clarity, and confidence. That mission comes to life through our people. Behind every innovation, customer success, and milestone are talented people working together to make a difference. That's why we're looking for people who are bold enough to think big, authentic in how they lead and collaborate, curious about what's possible, and committed to delivering results. Want a closer look before you apply? Explore our Careers site to learn more about our people, culture, and benefits. SUMMARY OneStream Software delivers a unified Corporate Performance Management (CPM) platform designed to meet the complex financial, operational, and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting mission-critical workloads for the Office of the CFO across highly regulated industries. The OneStream platform is built on a sophisticated technology stack that includes distributed, multi-threaded services, OLAP and multidimensional data models, modern web frameworks, SQL-based persistence, and increasingly cloud-native, SaaS-oriented architecture on Microsoft Azure. The Software Engineer designs, develops, tests, and maintains software components within OneStream, building high-quality features using established design patterns and best practices. This role owns assigned features through the full software development lifecycle, collaborates with senior engineers, Product, and Quality Assurance, and develops user interfaces, APIs, and data access logic. The Software Engineer participates in code reviews and assists in diagnosing and resolving defects and production issues to ensure reliable, high-performing solutions and positive customer experience. Success in this role is measured by code quality, reliability, learning velocity, and the ability to deliver well ‑ scoped features safely and predictably. PRIMARY DUTIES AND RESPONSIBILITIES Design, develop, test, and maintain high-quality software components within OneStream solutions. Implement features using established design patterns and best practices under guidance from senior engineers. Contribute to UI development using modern UI frameworks including Angular, React, and Blazor. Develop and integrate APIs and services following RESTful standards and practices. Write clean, maintainable, and well-documented code with appropriate unit test coverage. Use AI-assisted development tools to accelerate development, refactoring, test creation, and documentation, while validating AI-generated output for correctness, security, and architectural alignment. Participate in peer code reviews to improve code quality and consistency. Assist in diagnosing, debugging, and resolving software defects across development and test environments. Collaborate with Product, QA, and other engineering team members to deliver features that meet functional and quality expectations. Follow established SDLC, security, and compliance protocols REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 2–4 years of professional software development experience. Experience with object-oriented programming and the Microsoft technology stack, including C#, .NET, and ASP.NET. Basic experience with modern UI frameworks such as Angular, React, Blazor, and WPF. Familiarity with data formats and markup languages such as JSON and XML. Working knowledge of relational databases and SQL fundamentals. Experience using source control systems (Git) and participating in CI/CD workflows. Ability to write and review unit tests to validate functionality. PREFERRED EDUCATION AND EXPERIENCE Experience building enterprise or platform-oriented applications. Familiarity with cloud ‑ hosted or SaaS ‑ based systems. Introductory experience with automated testing practices. Azure Fundamentals or entry-level Azure certification. Familiarity with Cursor, Claude Code, etc. KNOWLEDGE, SKILLS, AND ABILITIES Solid understanding of software development fundamentals and object-oriented design. Ability to learn new technologies and frameworks quickly. Strong problem-solving and debugging skills. Effective written and verbal communication skills. Ability to work collaboratively in a team-oriented environment. Attention to detail and commitment to code quality. SUPERVISORY RESPONSIBILITIES There are no supervisory responsibilities required for this role. TRAVEL Travel Requirement: Regular travel is not expected for this position #LI-Remote #LI-KA1 Total compensation is based on experience, skills, and location using objective, job-related criteria. Additional variable compensation and benefits may apply. Gross annual base salary €49.000 — €64.000 EUR All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to OneStream may use the personal information you provide to process your application and contact you, in accordance with applicable privacy laws such as the CCPA and GDPR. For more information about how we handle your personal information, please review OneStream's Privacy Policy . Emails about job opportunities at OneStream are only sent by employees with an ----- email address. Reach out to your contact at OneStream if you suspect a phishing scam. Find more English Speaking Jobs in France on Arbeitnow

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $20M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. The Role You'll be a player-coach engineering leader with a spike in technical strategy, you'll own engineering delivery for your team end-to-end - from developing exceptional engineers to solving some of our most difficult engineering problems & setting technical direction. This is a hands-on leadership role. You'll spend roughly 20% of your time contributing code and 80% leading your team, with that ratio shifting as we scale. Key Responsibilities Build, hire, and develop a high-performing engineering team Help set technical direction and architecture decisions Work with the engineering to tackle some of our most difficult problems Own engineering delivery with an emphasis on velocity Collaborate closely with Product on roadmap and prioritisation Write code when needed so you'll stay close to the product The Opportunity We are in the unique situation that our commercial traction is ahead of our product. You'll play a leading role in moving towards automation in a way that enables us to rapidly scale with increased complexity and specific customer nuances. About You You have extensive experience in architecting enterprise-level systems, delivering on ambitious product visions, and building world class engineering teams. You have worked at high-growth businesses, and might have previously started your own company. You are highly analytical, and thinking proactively through the implications of your decisions, but also have high conviction and understand the importance of moving at pace and shipping often. You have previously led engineering at a company from its earliest stages, and don't shy away from the manager role - you know what great looks like, and want to help engineers grow. Essential Experience 8+ years software engineering experience Track record of hiring and developing strong engineers Strong production systems background - you've built and scaled things that matter, and you've done something hard and lived to tell the tale Proven experience in distributed systems Experience operating autonomously in small, high-velocity environments - ideally in a startup Experience working in a data-focused company or closely alongside a data engineering/ML team - data is core to what we're building at Kernel, and you will play a key role in shaping how we grow that capability Nice-to-Have: Scaled an engineering team through a growth phase (5 → 20+ engineers), or from Series A to Series C Technical depth across the stack: NodeJS, Postgres, TypeScript, Kubernetes AI-driven or data-heavy product experience Understanding of LLMs (e.g., RAG, prompt engineering, evals) CRM data models or workflow automation knowledge Hands-on Data Engineering or ML Engineering experience - as data becomes an increasingly large part of what we do, this would be a great asset for us to have ⚠️ This role may not be for you if you: Insist on shipping pixel-perfect code Prefer managing from a distance without technical involvement Need extensive process and structure before making decisions ❌ This role is definitely not for you: If you over-rely on AI coding tools (Cursor, Claude Code) to the point where you don't read or understand your own code If you on the other hand don't understand how these tools (Cursor, Claude Code, etc.) can be force multipliers for senior engineers if used correctly If you prefer fully remote work If you don't like early-stage startup pace If you're seeking a purely 'hands-off' role Tech Stack Backend: AWS, NodeJS, TypeScript, Postgres, Clickhouse, Kubernetes Frontend: NextJS, TypeScript, Tailwind You don't need to know everything, but you should be comfortable diving into any part of the stack. What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. 💰 Salary: £130,000 – £170,000 + equity 🗓️ 24 days holiday per year + bank holidays 🥕 £450 Monthly Office Dinner Allowance ✈️ 2 weeks work-from-anywhere 🍼 Generous parental leave policy 💼 Pension plan 💻 Top-spec equipment and central London office 🎉 Team events and dinners 🚀 Work directly with the founders to scale the systems that power enterprise AI 🏆 High-autonomy, high-trust environment with a small team shipping at pace 🎫 Visas & Relocation We sponsor visas for exceptional candidates and provide relocation support for those moving to London. Interview Process Stage 1: Introductory Call (45 minutes) An introductory conversation covering your professional background and what you're looking for in your next role. Stage 2: Hiring Manager Call (30 minutes) A conversation with Marcus focused on ways of working and team collaboration. Stage 3: Technical Deep Dive (60 minutes) An in-depth discussion exploring your architectural thinking and past technical decisions. Stage 4: Leadership Scenario Interview (60 minutes) An onsite interview at our London office, where we'll walk through real challenges you'd likely face in the role. Final Stage: Founders Interview A conversation with our co-founders, Anders and Marcus, focused on values alignment and long-term vision. Upon mutual fit: references and offer stage. Compensation: £130K – £170K • Offers Equity • Base Salary £130K – £170K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Role The Senior Product Engineer is the primary electrical design engineering presence on the production floor, bridging the gap between design intent and production execution. The role sits within Platform Engineering and is based primarily at the production site, dispositioning nonconformances and Material Review Board (MRB) actions for electrical systems and sub-assemblies, resolving design questions in real time, and closing the loop between production and design so that issues get root caused and fixed at the source. To hold that authority credibly, this role also contributes to upstream electrical design - architecture, analysis, schematics, and design reviews - so they have the depth needed to make sound disposition decisions on the floor. This is a senior individual contributor role requiring strong technical judgement in electrical and power systems engineering, the ability to operate autonomously in a fast-paced production environment, and the credibility to influence both design engineers and production teams. You will be expected to drive systemic improvements, cutting repeat nonconformances through changes to the design and documentation, as well as resolving individual issues. Key Responsibilities Production Floor Engineering Support Serve as the primary electrical design engineering point of contact on the production floor for assigned programs and product lines Represent the design authority at Material Review Board (MRB) for electrical systems, working with Quality and Manufacturing to minimise production hold time without compromising product safety and integrity Resolve production process-blockers, design ambiguities, and schematic/drawing interpretation issues in real time, exercising engineering judgement within defined authority boundaries Provide rapid-response engineering support and Root Cause Analysis (RCA) to Production, Quality, and Test teams for electrical nonconformance resolution, use-as-is/rework/scrap decisions, and repair dispositions Identify and escalate systemic electrical design issues to core Design Engineering teams with clear problem statements, data, and recommended corrective actions Perform detailed electrical calculations, simulations, and analysis to support MRB dispositions, deviation requests, and use-as-is justifications (e.g. power budgets, thermal derating, circuit analysis, connector/harness assessments) Electrical Design Contribution Contribute to the design, development and integration of electrical systems and subsystems, maintaining the technical depth needed to hold disposition authority on the production floor Perform detailed electrical calculations, simulations and analysis (circuit analysis, power budgets, thermal derating, EMC/EMI) to support both design decisions and MRB dispositions Participate in design reviews (SRR, PDR, CDR) and contribute to system-level trade studies Collaborate cross-functionally with mechanical, software, and systems engineering to integrate electrical systems into the vehicle Design Intent Translation & Multi-Site Support Support the translation of electrical design intent into production-executable work across multiple product versions, configurations, and manufacturing sites Support the stand-up and ramp of production at new or expanding manufacturing sites, ensuring electrical design engineering knowledge transfers effectively Raise and implement engineering changes to correct production issues that originate in the electrical design, through the Anduril configuration management and change process Feed production observations, failure modes and DFM/DFA opportunities back into Platform Electrical design work through structured feedback, prioritised using data Design to Production Interface Collaborate with Manufacturing Engineering on work instruction (WI) development, tooling validation, and First Article Inspection (FAI) activities for electrical assemblies, communicating the design intent and acceptance criteria Own the resolution of EBOM discrepancies found in production for electrical assemblies, and give engineering input to Configuration Management and Manufacturing Engineering on PLM workflows, BOM reconciliation and work instruction tooling Identify patterns across electrical nonconformances, test failures and build issues, and lead engineering root cause analysis and design corrective action implementation Collaborate on the improvement of key tool and functional interfaces (PLM workflows, digital work instructions, BOM reconciliation) that impact design-to-production efficiency Support the development of scalable frameworks for multi-site production: configuration management alignment, site-specific work instruction adaptation, and cross-site lesson-learned sharing Build repeatable playbooks for standing up production of new product variants, reducing ramp time and first-unit defects at each additional site Cross-Functional Collaboration & Metrics Maintain strong working relationships with Quality, Supply Chain, Manufacturing Engineering, and Program Management to ensure aligned priorities and rapid issue resolution Collate and drive corrective actions on design-originated production issues, providing data-backed prioritisation to core Design Engineering teams Participate in Production readiness reviews, design reviews (P&DFMEA, DFM/A/T) and engineering change assessments Key Competencies & Attributes Engineering Judgement: Technical depth in electrical and power systems combined with production pragmatism - able to make sound engineering decisions under time pressure without over-engineering solutions Design Authority Integrity: You protect product safety and integrity under schedule pressure, understand the limits of your delegated authority and escalate when you should Cross-Functional Influence: Credibility with both design engineers and production operators; able to speak both languages and bridge communication gaps Autonomy & Initiative: Comfort with ambiguity and competing priorities in a fast-moving production environment; able to self-direct and prioritise without constant direction Systems Thinking: Thinks beyond individual issue resolution to identify patterns, root causes, and scalable solutions that prevent recurrence across sites and variants Communication: Clear, concise technical communication - written dispositions, engineering reports, and presentations to leadership Required Qualifications Bachelor's or Master's degree in Electrical Engineering or a related field Proven experience in a senior role within defence, tech or any fast-paced environment, driving successful electrical engineering projects from concept to market launch Expertise in electrical engineering principles, techniques, and technologies, with a track record of delivering innovative solutions Proficiency in using industry-standard electrical design and simulation software Excellent interpersonal skills, with the ability to motivate and mentor junior engineers while fostering a culture of collaboration and innovation Strong time management and organisational abilities, with a demonstrated ability to deliver projects on time and within budget Excellent problem-solving skills, with the ability to think creatively and adapt to diverse and evolving challenges Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders Familiarity with fast paced environment best practices, including agility, adaptability, and the ability to work in a fast-paced and dynamic environment Ability to obtain and maintain a NV2 Australian Government Security Clearance Demonstrated hands-on experience working on or directly supporting a production floor Understanding of Material Review Board (MRB) processes, nonconformance management, and engineering disposition (use-as-is, rework, scrap, return to vendor) Preferred Qualifications Experience designing electrical and power systems for unmanned vehicles Experience in the subsea or maritime domain Experience working on defence programs and familiarity with current Defence standards Previous experience as a Product, Sustaining, Liaison or Production Support Engineer with delegated design or disposition authority Experience with first article inspection (e.g. AS9102) and production test development Familiarity with IPC/WHMA-A-620 and/or IPC-A-610 The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an ----- address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is ----- before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security. Find more English Speaking 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. About the role We are looking for an Engineering Manager to lead Codeless, our internal Server-Driven UI (SDUI) platform team. In this role, you will lead a cross-functional team bridging mobile/web frontend engineering and core platform backend systems. While this role is deeply rooted in modern UI architecture, its mission goes beyond standard UI development: Codeless empowers product teams across the organization to ship dynamic, native UI experiences dynamically from the backend—eliminating app store release bottlenecks, dramatically accelerating feature iteration, and establishing a unified UI schema across iOS, Android, and Web. What you'll be doing This is a role with broad impact, from hands-on technical guidance to championing web and mobile accessibility across the company. We're looking for a leader who excels at fostering collaboration and can confidently guide a concept from initial idea to robust implementation. Day-to-day in this role you'll: Team Leadership & Strategy: Build, mentor, and scale an engineering team responsible for our core Server-Driven UI platform ("Codeless"). Foster an inclusive, high-ownership engineering culture. Platform Architecture & Evolution: Oversee the design and evolution of dynamic layout engines, declarative UI schemas, and client rendering frameworks across iOS, Android, and Web. Developer Velocity & Platform Adoption: Partner with product feature teams to drive internal adoption of Codeless. Ensure the platform provides exceptional Developer Experience, clear tooling, robust design system integration, and seamless debugging workflows. Technical Execution & Quality: Set high technical standards for platform performance, payload optimization, caching strategies, backward compatibility, and graceful offline/fallback behavior across client devices. Cross-Functional Collaboration: Work closely with Product Managers, Design System leaders, and Core Infrastructure engineers to align the Codeless roadmap with broader company initiatives and global design paradigms. What you'll need to thrive Engineering Management: 3+ years of experience managing software engineering teams, with a track record of coaching engineers, delivering complex platform initiatives, and driving technical strategy. UI & Platform Domain Expertise: Strong foundational background in mobile (iOS/Android) or modern web architecture (React, SwiftUI, Jetpack Compose, or declarative UI paradigms). Product & Platform Mindset: Ability to treat internal product engineering teams as customers, evaluating platform success through developer velocity, adoption metrics, and rendering performance. 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 more English Speaking 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. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. 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