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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. 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

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 merchants every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's (& Doordash's) growth at scale. We're looking for a Staff Software Engineer to join our Event Streaming Systems team. This is a hybrid role. In this role, you'll provide technical leadership for the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. You'll help define the long-term direction of our messaging and streaming platforms, lead high-impact technical initiatives across teams, and raise the reliability, scalability and operational excellence bar for Tier-0 infrastructure. What You'll Be Doing You'll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions (internally called EventBus), messaging platform capabilities, and future streaming technologies. The team also partners closely with Database Reliability, Storage, SRE, Data Platform and Core Infrastructure teams to ensure our most critical data and messaging systems remain reliable, operable and cost-efficient at global scale. These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale. Here's what your day-to-day might look like: Define and drive the technical vision and roadmap for our event streaming and messaging platforms, balancing reliability, scalability, cost, operability and developer experience. Lead team-level and cross-team initiatives for Kafka, EventBus and related streaming infrastructure, from ambiguous problem definition through architecture, delivery, rollout and adoption. Act as a trusted technical advisor for Kafka, messaging, storage-adjacent and DBRE-related platform decisions across Deliveroo, DoorDash and Wolt. Design durable, extensible systems and platform capabilities that can be leveraged by other engineers and teams, reducing duplicated effort and operational risk. Lead the resolution of complex distributed systems problems, including reliability incidents, performance bottlenecks, capacity constraints, data-safety risks and production-operability gaps. Raise the operational excellence bar for Tier-0 infrastructure through observability, automation, incident response, runbooks, operational readiness and continuous improvement. Proactively build alignment with partner teams, including EventBus, Storage, DBRE, SRE, Data Platform and Core Infrastructure, shaping joint goals and mitigating cross-org delivery risks. Mentor and grow engineers through technical guidance, design, feedback, code review, incident review facilitation and knowledge-sharing across the engineering community. Evaluate emerging streaming, storage and automation technologies, including AI-enabled operational tooling where appropriate, and champion pragmatic adoption where they can materially improve quality, velocity or efficiency. What You'll Need to Thrive Our ideal candidate will bring deep expertise in several of these areas and the judgment to lead others through ambiguity: Significant experience building, operating and evolving distributed systems in production, ideally for platform or infrastructure teams supporting critical workloads. Deep hands-on experience with Kafka or comparable event streaming systems as a platform, infrastructure service or business-critical production dependency. Strong technical leadership skills, with a track record of defining technical direction, shaping roadmaps and leading multi-engineer or cross-team initiatives. Ability to make and own technical decisions in ambiguous situations, using data, operational signals, customer needs and long-term system health to guide tradeoffs. Strong coding ability in Java, Go, Python or similar languages, with a focus on reliable, maintainable, observable and scalable production systems. Experience improving production reliability through automation, observability, capacity management, incident response, operational readiness and sustainable on-call practices. Strong distributed systems fundamentals, including Linux, networking, storage, JVM-based systems, fault tolerance, backpressure, capacity planning and performance tuning. A force-multiplier mindset: you create leverage through reusable technical foundations, clear documentation, strong engineering practices, mentoring and removing single points of failure. Strong communication and stakeholder management skills, with the ability to influence platform, infrastructure, product and reliability teams without relying on authority. Nice to have Experience contributing to Kafka or related open source distributed systems. Experience with Redpanda, WarpStream, AutoMQ, Pulsar or similar streaming technologies. Experience with JVM tuning, diskless streaming architectures or multi-region event streaming platforms. Experience operating Tier-0 infrastructure at large scale, including incident leadership and post-incident improvement programs. Experience with database reliability, storage systems, data platforms or DBRE practices in addition to event streaming. Experience using automation or AI-assisted operational tooling to improve reliability, developer experience or incident response quality. Why Join Us? At Deliveroo (Doordash), 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 complex, always-on infrastructure that impacts millions every day. 🌱 See your impact, fast. Shape the direction of foundational platforms used by teams across Deliveroo, DoorDash and Wolt. 🧠 Grow through challenge and ownership. Lead ambiguous, high-impact technical problems with strong support from peers and leaders. 🌎 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 process typically includes 3–4 stages. Explore our Engineering Interview Guide to help you feel confident at each stage. 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. #LI-LW1 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

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 Jobs in United Kingdom on Arbeitnow

Software Engineer - Research Participants - United Kingdom Location: Remote (UK) Type of contract: Freelance Hourly Rate: £19 (pay based on actual study time) About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The Role Do you have a device with a microphone? Get paid to take part in voice interviews. We're inviting software engineers and developers based in the UK to take part in a research study run by an institution focused on global policy change. This is a paid research participation opportunity, not a job as a software engineer. Quick signup, flexible schedule, real payouts. Your voice can help build a picture of how people across the UK think and talk about important issues, and that evidence is designed to inform real policy decisions. Every participant counts, and together we're working toward a shared research goal. The project launches in about one week, and places are allocated on a first come, first served basis, so please sign up as soon as you can. What you'll be doing Taking part in a short voice conversation with another participant Completing a short online survey sharing your views and experiences Giving honest, considered responses based on your own perspective Watching the community research goal progress as more participants take part What you'll bring Residence in the UK Fluent English A device with a working microphone No research experience or specialist research qualifications required. We want a genuine cross-section of the UK population. Why join this project? This is a chance to be part of something meaningful and have a say in research aimed at shaping policy. Once the findings are published, we'll share them with participants so you can see the impact of your contribution. Please note that you must be new to Prolific to sign up successfully. If you already have a Prolific account, there is no need to register again. Simply ensure your profile is up to date to be eligible for this and future opportunities. Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information. Find Jobs in United Kingdom on Arbeitnow

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. The team NiCE Labs (nice.com/nice-labs) is where NiCE explores what's next in AI for customer experience. This role is on AI Innovation, the Labs pillar that builds and validates new AI capabilities through prototypes, so the company can make better product decisions, faster. We're a deliberately small, senior team of builders inside NiCE Cognigy, the AI agent platform. We operate in fast iteration cycles: spot an emerging capability, build a working prototype, validate it against real metrics (quality, latency, cost, user impact), and then decide: kill it, iterate, publish it, or hand it off to a product team. Some of our work is public, like the open-sourced Cognigy Platform MCP server; most of it shapes the product roadmap from the inside. We hire for product mindset and builder mentality. Everyone on the team takes ideas from zero to working software, shows them to real users, and argues from evidence. So, what's the role all about? You'll work at the intersection of frontier AI capabilities and a real enterprise product. The field moves faster than any roadmap can track. Your job is to close that gap: turn new models, protocols, and agent patterns into working systems, prove what matters in realistic scenarios, and produce the insights and reference implementations that let product and engineering teams move with confidence. You'll need to be comfortable with ambiguity, at home where best practices don't exist yet, and quick to move on when the results point elsewhere. How will you make an impact? Build agentic systems and full-stack prototypes end-to-end, shipping a first version in days and learning from real use Track the frontier (new models, agent patterns, protocols like MCP) and turn the promising ones into working prototypes rather than slideware Design experiments that show whether a concept holds up, measured in quality, latency, cost, and user impact Work directly with internal users, product managers, and customers to validate concepts early and iterate quickly Turn validated prototypes into reference implementations and write-ups that product teams can build on, then hand off cleanly and move to the next bet Give product and platform teams concrete feedback on where AI capabilities shine and where they fall short Move between initiatives as priorities shift. What you learn on one bet compounds into the next Have you got what it takes? Have 4+ years building full-stack software, including things you started from nothing. We weigh what you've shipped more than years on a CV Have shipped LLM-powered systems to production:features real users depended on, not demos or notebooks Understand AI agents below the framework level: message arrays, tool calling, context management, prompt caching. You could build an agent loop from scratch and explain why it works Use AI-assisted development (Claude Code, Codex, Cursor, or similar) as your default way of working, and it makes you measurably faster, not just busier Are full-stackin practice: comfortable taking a prototype from API to demo UI on your own (our stack centers on TypeScript/Node.js and React) Do your best work when the ground is still moving. New territory energises you more than a settled plan Think in user problems first, solutions second You will have an advantage if you also have: A strong eye for UX/UI: you can make a prototype feel like a product, and you notice when one lacks that eye Experience with voice and real-time AI: streaming, speech-to-text/text-to-speech, voice-to-voice models Open-source work on agent tooling (MCP servers, harnesses, evals) Experience designing evaluations for AI systems Background in conversational AI or customer-experience products Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 11563 Reporting into: Manager, Engineering, AI Innovation Role Type: Individual Contributor #LI Hybrid About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Find more English Speaking Jobs in Germany on Arbeitnow

About Cosuno Construction is a €14 trillion industry that still runs on email, spreadsheets and scanned PDFs. Cosuno is replacing that with AI. General contractors tender their projects on our platform to more than 250,000 subcontractors, and our agentic AI matches the right firms, flags anomalies in bids and benchmarks every price against 6.5 million data points from over €136 billion in processed bid volume. Every tender makes the AI smarter. The results are measurable: general contractors cut costs by around 6 %, subcontractors win 22 % more volume, and every new general contractor customer this year has chosen our AI product. Founded in Berlin in 2019 and backed by Cherry Ventures and Spark Capital with over €40 million raised, we are now scaling our Engineering, AI and Product teams with that capital. That is where you come in. Your mission As our Senior Talent Acquisition Manager – Tech, you make sure every seat in Engineering and Product goes to someone exceptional. You report to Maximilian Seifert (CTO) and work closely with Carmen Pölking (Head of Product). Engineers trust you to tell them honestly what a role at Cosuno looks like, and our tech leads trust you to bring them people who raise the bar. What you will achieve in your first year You hire 25 people across Software Engineering, Product Management and Product Design, owning every process from intake to signed contract. You build warm pipelines of senior engineers before roles open, so we hire through sourcing and referrals instead of agencies. Together with our tech leads, you design structured, scorecard-based interview loops, from technical screening to final interview. You put Cosuno on the map in the Berlin and European tech community, through referrals, meetups and content with our engineers. You advise on levelling, compensation and market trends, so our offers win. You make hiring measurable with a monthly dashboard on time-to-hire, conversion and source of hire. What the job really looks like The best engineers rarely apply. Most of your hires come from your own outreach, so a large part of your week is sourcing and candidate conversations. You compete with big tech and AI companies for the same people, and you need a compelling story to win them. You talk shop with engineers. You do not need to code, but you understand what a TypeScript full-stack role or an ML engineering role really involves. There is no large TA team and no finished playbook. You build the processes while you hire. You push back when a profile, a process or a decision is not right. We want you to. What you bring At least 4 years of recruiting experience, of which at least 2 years in-house at a high-growth tech company, hiring software engineers. A track record you can prove in numbers: hires made, time-to-hire and offer acceptance rate. You steer your pipeline by data, not gut feeling. Technical fluency: you understand modern tech stacks and roles (full-stack, backend, AI/ML, platform) well enough to assess candidates and challenge hiring managers. Proven technical sourcing skills across LinkedIn, GitHub and tech communities, including Boolean and X-ray searches. Structured assessment: you have built interview loops with engineering teams and keep them fair, fast and consistent. Strong closing skills: you win engineers against competing offers, including from big tech and AI companies. Fluent English, written and spoken. Nice to have German language skills. Experience hiring AI/ML engineers. Experience with cross-border hiring in Europe, including Employer of Record set-ups. Hands-on experience with Ashby, LinkedIn Recruiter, Clay or Lusha. Curiosity about construction or other traditional industries. What we offer Salary: €70,000–90,000 gross base salary per year, depending on experience, plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. AI at the core: you work with Ashby, LinkedIn Recruiter and you have a budget to test new tools. Learning budget for your professional development. Time off: 25 vacation days per year, rising by one day for each year with Cosuno up to a maximum of 28 days. On top of that, 24 and 31 December are always off. Flexibility: fully remote within Germany or from our office in Berlin-Kreuzberg, with flexible hours. Top equipment: a new MacBook Air. A great team: open and international, with regular off-sites and team events. Stability: permanent contract in a well-funded company. Our hiring process (max. 4 weeks) Intro call with Vivien (People Lead), 30 minutes, video. Live Case Study with one of our Engineers, 60 minutes. Career deep-dive with Maximilian Seifert (CTO) and Carmen Pölking (Head of Product), followed by a conversation about our culture and values with Vivien Littmann (People Lead), 60 minutes in total. References: with your consent only, we speak with 1 or 2 hiring managers you have recruited for in previous roles. Offer. From your first call to our decision, the process takes no longer than 4 weeks. Your contact: Vivien Littmann, People Lead We welcome applications from everyone who brings the skills for this role, regardless of background or circumstances. If you need any adjustments during the process, just let us know. Compensation: €70K – €90K • Plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. • €70K – €90K • Plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. Find Jobs in Germany on Arbeitnow

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world's leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is at our core and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. KAYAK is looking for a Data Engineer to build the trusted data foundation behind machine learning across the company. You'll partner with data scientists to understand their modeling needs and what the available data can (and can't) support. You'll transform large-scale raw data into production-ready datasets and build the scalable pipelines that make them dependable and reusable. Working across Data Science, Data Engineering, and Data Platform, you'll help address data gaps and bring new machine-learning use cases into production. If you're excited to shape how teams across KAYAK use data to build and scale machine learning, we'd love to hear from you. This role will be required to work from our Berlin office 3 days per week. In this role, you will: Partner with the Data Science teams and help translate modeling needs into dataset requirements, then collaborate with Data Engineering and Data Platform to extend foundational pipelines into ML-ready datasets. Design scalable and efficient dataset workflows and ensure pipeline reliability through validation, monitoring, and alerting; diagnose and resolve issues. Ship production-ready data solutions that enable ML applications and deliver real-world impact on user experience and key business metrics. Identify gaps and opportunities, contributing to technical decisions and roadmap priorities that strengthen the data foundation for current and future ML use cases. Collaborate across Data Science, Engineering, and Data Platform, communicating technical decisions, findings, and trade-offs clearly and concisely to technical and non-technical audiences. Please apply if you have: Strong technical foundations in data engineering, software engineering, and systems design, backed by a track record of building and operating reliable, large-scale data pipelines. Demonstrated capability matters more than academic credentials. Hands-on experience developing production data pipelines, with the ability to clearly explain the problems addressed, your specific contributions, and the resulting impact. Ownership, sound judgment, and systems thinking, with the ability to navigate technical, reliability, cost, and risk trade-offs while working independently and recognizing when to seek guidance. Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations. Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together. Bonus qualifications Hands-on experience with technologies relevant to KAYAK's stack, such as Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, and schema-based data contracts. Experience with feature stores or feature pipelines. Familiarity with Agile ways of working, such as sprint planning and team ceremonies. Benefits and Perks: Work from (almost) anywhere for up to 20 days per year Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) No meeting Fridays Paid parental leave Paid volunteer time Focus on your career growth: Development Dollars Leadership development Access to thousands of on-demand e-learnings Travel Discounts Employee Resource Groups 6 weeks paid vacation + a day off for your birthday Free lunch 2 days per week Pension plan contributions Public transportation subsidies Bike leasing program Monthly social events, Thursday happy hours, sports teams An awesome office in Friedrichshain, Berlin Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We've got you. #LI-AS1 Find more English Speaking Jobs in Germany on Arbeitnow

Thorit GmbH · Böblingen, Germany · Hybrid, mostly on-site · Working student (Werkstudent), 15 to 20 hours per week · Start as early as possible About the Role You'll build the agent stack an AI consultancy runs on. We use several LLMs across many internal tools, and today each one is wired up differently. You'll turn that into one LangChain foundation: one model-agnostic layer, shared building blocks and proper tracing, then move our internal tools onto it. Real users, real production, from your first month. What You'll Do Map every internal tool that uses an LLM: which model, how it is called, what data flows through it Build our internal LangChain and LangGraph reference stack with a model-agnostic LLM layer, tool calling, MCP and structured outputs Migrate existing internal tools and agents onto that shared stack Compare LLMs with evals and tracing and help decide which model fits which use case Create templates and docs so colleagues build new tools the same way, including apps that started in Lovable Connect the stack to our systems through APIs, webhooks and a shared data model What You Bring Must-haves Enrolled in a computer science, software engineering, AI, data science or business informatics program At least one project you built yourself with LangChain or LangGraph (show us the code) Hands-on experience with more than one LLM or provider and an idea of their trade-offs Solid Python, plus first experience with REST APIs and SQL Very good English; German is a plus for working with some internal users Living close enough to Böblingen to work from our office at least one day a week Nice-to-haves Experience with LangSmith or other LLM tracing and evals, RAG and vector stores, or MCP TypeScript and experience with Lovable, Supabase or Postgres Interest in writing your thesis on an applied LLM or agent topic Your Team You'll report to the Team Lead AI Engineering Germany, joining the AI Engineering Germany team within Thorit's AI & Engineering Practice. Senior engineers set the architecture with you and review your code, and you'll work directly with colleagues across the company who use the tools you build. Tech Stack Python, LangChain, LangGraph, LangSmith, several LLM providers (Claude and others), MCP, vector stores, Supabase and Postgres, TypeScript, Lovable, Git, HubSpot APIs, Jira, Confluence, Microsoft 365. What We Offer Real ownership: you build the stack our internal tools run on, not side tasks, and your work goes live Hours that fit your studies: flexible working hours planned around lectures and exam phases, more hours in semester breaks if you want Paid vacation pro rata, based on 31 days for a full-time position (above the statutory minimum) Access to several frontier LLMs and senior engineers who review your code MacBook and a modern office in Böblingen with free parking, good public transport and company e-scooters Lunch subsidy of €5 tax-free per working day Free snacks, fruit, coffee and drinks , a dog-friendly office and Corporate Benefits discounts from several hundred brands Team events , offsites, our Christmas party and Lunch & Learns Thesis and next step: the option to write your thesis with us, and a clear path to a Junior AI Engineer role after graduation About Thorit Thorit is the AI & CRM consultancy for the agent-native enterprise. As a Diamond HubSpot Partner we work with enterprise clients in DACH and the Nordics, building the agent layer on top of HubSpot and the systems around it, then operating it with them. Agentic means software that acts on goals instead of waiting for clicks. We don't just sell that, we run on it, and that is exactly where you come in. Find more English Speaking Jobs in Germany on Arbeitnow

Location : Come and join us in Berlin! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for an experienced Engineering Manager to lead two high-performing teams of software engineers who are focused on scaling an exciting new product vertical. We are building a complex, intelligent system to modernize the traditional taxi industry. Your goal is to lead the team to transform offline fleets into digital businesses. This critical role ensures team's alignment with product and business strategy, while driving efficient delivery of features. You will foster an environment of technical excellence, psychological safety, and continuous individual development, ultimately maximizing business impact across all Freenow markets through innovation. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate colleagues who strive for excellence and enjoy their work. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Team Performance & Delivery: Within the frame of quarterly goals and company strategy, lead the team in delivering high-quality, scalable software solutions. Focus on continuously improving engineering processes to ensure predictable, timely delivery while managing team capacity and focus. You inspire innovation to disrupt incumbents. People Development: Provide coaching, mentoring, and continuous feedback to team members. Identify development areas and growth opportunities to support individual career paths and enhance team cohesion in building innovative customer and driver support solutions. You get to build a team from the ground up. Technical Ownership: In collaboration with Staff Engineers and Principals, lead technical decision-making for the support systems. Ensure high standards of quality, reliability, maintainability, and observability in all solutions, particularly the large-scale systems handling customer and driver interactions. Strategic Execution: Translate product and tech strategy into actionable team plans. Align team activities with business priorities, ensuring efficient execution and adapting plans as needed. Stakeholder Collaboration: Act as the main engineering counterpart to Product Managers and Designers. Build strong relationships to ensure transparency, collaborate on product decisions where needed, and jointly maximize business impact by providing world-class support technology. Culture & Team Building: Foster a team culture based on trust, psychological safety, collaboration, and feedback. Ensure diverse perspectives are heard, encourage curiosity, and build a resilient and motivated team. Operational Excellence & Incident Management: Own incident response processes for support technology. Ensure alerting and monitoring are in place, bugs are addressed quickly, and technical debt is managed proactively to support long-term sustainability and reliability of the critical customer and driver support infrastructure. Our Techstack : Java | Kotlin | AWS | Docker | Git | Kafka | ElasticSearch & more TO BE SUCCESSFUL IN THIS ROLE: Level of Education: Bachelor's degree (preferably in Computer Science or a related technical field). Level of relevant working experience: Minimum 6 years in software engineering roles, and at least 2 years in a leadership or management position. Deep understanding of the software development lifecycle and best practices. Experience with scaling zero to one products Strong leadership, coaching, and people development skills. Delivery/project management and agile methodology fluency. Excellent communication and stakeholder management skills. Growth mindset, data-driven decision-making, and bias for action. BENEFITS & PERKS IN A NUTSHELL: Flexible working arrangements LinkedIn Learning Sabbatical & special leave policies WeRoad partnership Birthday, 24th + 31st December off Short term EU work policy Mobility Credit Health Insurance Employee assistance program DIVERSITY, EQUITY & INCLUSION: FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work . ABOUT FREENOW: We are Freenow, the European taxi app with the broadest multi-mobility offering, available in 9 markets and over 180 cities. Our app gives millions of passengers the freedom to move with a wide choice of services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds and public transport. Headquartered in Hamburg and led by our CEO Thomas Zimmermann, we are on a mission to make urban mobility more efficient, sustainable and inclusive. Since July 2025 we have been part of Lyft, a global mobility platform connecting riders and drivers for billions of rides across North America and Europe. Together we are building a more caring and connected world, creating new opportunities for innovation, growth and impact. Find more English Speaking Jobs in Germany 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: Build real software, with real impact. Join our tech team for an internship in software engineering and AI-driven tooling, and help shape the tools that support prenatal care. You will work on internal tools that make setting up realistic test and demo environments fast and easy, directly supporting development and delivery. Your missions: DICOM SR simulator: study real DICOM Structured Reports (SR) from different ultrasound manufacturers and create realistic SRs for testing Full simulator: rebuild our internal ultrasound machine simulator from scratch, so that various scenarios can easily be generated and experimented with AI-driven simulation tool: integrate the simulator into a broader AI-piloted tool that simulates real user interactions with the application, for demos, test preparation, or configuration experiments About the profile : Sonio is a mission-driven company, so a genuine interest in our mission (improving fetal and maternal health through AI) is essential. Beyond that, we're looking for someone who: Is a final-year student in an engineering school or a Master's in Computer Science, looking for a 6-month end-of-studies internship Is comfortable with JavaScript and TypeScript and has some knowledge of Playwright Knows the basics of APIs, containers and CI pipelines Is curious about LLM-based tooling (agents, tool calling, MCP) Location: Paris Start Date: ASAP for 6 months 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

The Seventh-Day Adventist Church (British Colombia Conference) is currently looking for one (1) Secondary School Teacher at our Okanagan Christian School in Kelowna, British Colombia. This position is a full-time permanent position and in the English language. This position focuses on math and science as primary subjects. Job Duties: -Prepare subject material for presentation to students based on an approved curriculum -Use a systematic plan of lectures, discussions, audio-visual presentation, and other methods to teach students -Prepare, administer, and correct tests -Evaluate progress of students and determine individual needs and discuss results with parents and school administration -Participation in staff meetings, educational conferences and teacher training workshops where required -Be a role model and support the mission of a faith-based school system and collaborate with a dynamic team of faith-based educators and administrators Employment Requirements: -Degree in education -Candidate must be eligible for NAD and provincial certification -Have at least three (3) to five (5) years of direct experience as a secondary school teacher -Have direct experience in delivering a faith-based curriculum including bible study Wage and hours -$45.00 an hour for 30-40 hours per week Work Location 1035 Hollywood Road South, Kelowna, British Columbia V1X 4N3 How to apply Email: lmuse@bcadventist.ca (Leidamae Muse - Superintendent of Education) Phone: (604) 853-5451 (BC Conference Main Office) Apply via the in-application apply options This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups: Indigenous people, Persons with disabilities, Newcomers to Canada, Older workers, Veterans, Visible minorities, Youth Pay: $45.00 per hour Expected hours: 30.0 ? 40.0 per week Work Location: In person