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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. Software Engineer II (Full Stack) Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. The Team : MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands. We're looking for a Software Engineer II (Full stack) to join our London (Hybrid - 3 days from the office) team. In this role, you'll work across the stack, from the backend services and integrations that handle merchant discovery, matching and onboarding to the web tools sales and operations teams use to quote and sign merchants Get to know our Engineering team — what drives us, how we work, and what you can expect. What you'll do? As a Software Engineer at Deliveroo, your individual work contributes to achieving goals in and across your team. While you will work with your team and you may lead projects, some of your work will contribute outside of your direct remit. You will report to managers and group leads and together deliver the results. Technical Execution: You will improve code structure, have an impact on architecture, and review code of any scope produced by your team. You'll aim to simplify the maintenance and operation of production systems, visibility, operational readiness, and health of your team's systems. Collaboration & Leadership: As well as leading from the front regarding technical execution, you'll build relationships with other engineering teams and, identify collaboration opportunities. You'll own larger pieces of work, assist with design and technical / implementation choices and influence the roadmap within your team. You will take an active role in the hiring process and conducting engineering interviews. This will also extend to the current team where you will support the personal growth of colleagues, encouraging efficiency in their roles. Expectations: We want to emphasise that we don't expect you to meet all of the below but would love you to have experience in some of these areas. Pride in readable, well-designed, well-tested software Experience writing web-based applications in any language, and an interest in learning (Go, Ruby/Rails, Python, Scala, or Rust) Experience with relational databases (PostgreSQL, MySQL) Experience with web architecture at scale (20krpm and above) Experience with "NoSQL" data backends and other (Redis, DynamoDB, ElasticSearch, Memcache) Experience solving logistical problems with software 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 organisers, proud parents, 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. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it's a fundamental part of who we are. That's why we've built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we're developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we're ensuring that our users and partners receive world-class support at scale. About the role We're now looking for a Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You'll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Requirements 3+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. Production experience in Golang , with an interest in developing strong engineering practices. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Previous on-call experience , with a pragmatic approach to reliability and incident management. Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. 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 vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We're home to the UK's largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Location: London - hybrid (Wednesday & Thursday office days) Reports to: Engineering Manager, Core Search The role At Rightmove, millions of people use our products at some of the most important moments in their lives. As a Senior Software Engineer II, you'll play a key role in building the tools, systems and experiences that help keep the UK's favourite property platform moving forward. You'll join a collaborative, high-performing engineering community where autonomy, curiosity and continuous improvement are part of everyday life. Working closely with Product, Design and Engineering colleagues, you'll help solve meaningful problems at scale, delivering software that is reliable, maintainable and loved by its users. We're passionate about modern engineering practices, continuous delivery and building quality in from the start. Whether it's shaping architecture, mentoring engineers or exploring new technologies, you'll have the freedom and support to make a genuine impact. A note from your manager: Help millions of people find the right property faster. Join our collaborative Search team, where you'll build intelligent, intuitive discovery experiences, experiment with new technologies, and shape how users explore and connect with homes they'll love. What you'll be doing Building and evolving products using a modern technology stack including TypeScript, React, Express, Node.js, Kubernetes and GitLab Delivering high-quality software that can be released safely and frequently to production Partnering with Product, Design and Engineering teams to solve complex, real-world challenges Influencing technical direction and helping shape the work that goes into each sprint Designing scalable, resilient systems alongside Architects and Principal Engineers Contributing to engineering communities, standards and best practices across Rightmove Coaching and mentoring fellow engineers, helping others grow and develop Collaborating through code reviews and technical discussions to continuously improve quality Experimenting with new technologies and approaches that help us work smarter and deliver more value We'd love to hear from you if... You enjoy solving complex technical problems and finding simple, elegant solutions You're passionate about software quality and advocate for testing and automation You have strong experience with React, TypeScript and modern web application development You care about performance, scalability and creating great user experiences You're comfortable influencing technical decisions and driving engineering excellence You enjoy mentoring others and helping teams succeed together You're naturally curious, always looking to learn and improve You take ownership, value collaboration and celebrate team success Our Approach to AI At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind. Life at Rightmove Despite our growth, we've remained a friendly, supportive place to work, with employee #1 still working here! We've done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: We create value… by delivering results and building trust with partners and consumers. We think bigger… by acting with curiosity and setting bold aspirations. We care deeply… by being real, having fun, and valuing diversity. We move together… by being one team - internally collaborative, externally competitive. We make a difference… by focusing on delivering measurable impact. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we're a great place to work , we're clearly doing something right! What we offer Cash plan for dental, optical and physio treatments. Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan. 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes. Contributory stakeholder pension. Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life. Competitive compensation package. Paid leave for maternity, paternity, adoption & fertility. Travel Loans, Bike to Work scheme, Rental Deposit Loan. Charitable contributions through Payroll Giving and donation matching. Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more. We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process. As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. By applying, you confirm that you are aged at least 18 or over and that you've read and understood our Privacy Policy , which explains how we handle and protect your personal information during the recruitment process. Find Jobs in United Kingdom on Arbeitnow

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic has seen significant growth in its work within the Public Sector over the last few years. This role will focus on delivery but also to lead the stakeholder relationships at the highest levels of Government and to work with them to help align Elastic to their strategic objectives. You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers. Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance. What You Will Be Doing: Strong customer advocacy, relationship building, and communications skills The ability to easily pivot from delivery to strategic engagements with customers To work with the wider Elastic organisation to support the customer's goals, their strategic requirements and their journey with Elastic. Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals. Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments Comfortable working remotely in a highly distributed team Development of demos and proof-of-concepts that highlight the value of the Elastic Stack Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale Solving our customers' most challenging data problems Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions. Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns What You Bring Along: Hands-on experience and an understanding of Elasticsearch and/or Lucene Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements Currently holding current UK security clearance, or has previously held security clearance, or is will to undergo security clearance Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies Understanding and passion for open-source technology and knowledge and proficient in at least one programming language Hands-on experience with large distributed systems from an architecture and development perspective Knowledge of information retrieval and/or analytics domain The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement Understanding of Linux, Java and databases Bonus Points: Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification BS, MS or PhD in Computer Science or related engineering discipline Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems Experience and interest in delivering and/or developing product training Experience contributing to an open-source project or documentation LI-PF Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. 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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain. There are interesting challenges to tackle. We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems. If you're energized by work that makes every engineering team at Elastic ship faster and more securely, we'd love to hear from you. What You Will Be Doing : Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption. Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it. Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity. Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and own the outcome even when the execution is distributed. Drive clear technical communication and alignment across teams, and produce high-quality documentation for systems, processes, and architectural decisions. Serve as Incident Commander on high-severity supply chain or release incidents, and use each incident as a forcing function for structural improvements. Raise the engineering bar across the org through code review, mentorship, design review, and by setting standards others adopt voluntarily. Remain hands-on at the right depth: you'll review code, prototype approaches, and debug production issues, but your primary leverage at this level is through the work of others, not your own output. What You Bring : Deep expertise in CI/CD and what it takes to harden a release pipeline against supply chain attacks. Strong debugging instincts across the full pipeline stack: you trace failures from test runner to artifact store to cluster deployment without needing a specialist for each layer. Hands-on with CI infrastructure (Buildkite, GitHub Actions, or equivalent), GitOps/ArgoCD, and Kubernetes. You use AI to accelerate your own work and your team's and you understand AI's impact on supply chain security and scale. A track record of multi-quarter, cross-org ownership: you've identified the right problem, designed the solution, and gotten organizations that didn't report to you to change how they work. The judgment to push back on a prescribed plan when it's the wrong call, and the credibility to get alignment on a better approach. Experience directing the work of other engineers toward outcomes not just collaborating, but breaking down complex problems into executable work and holding the outcome. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. 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Who are we? Smarkets: Predicting the Future of Betting Smarkets runs one of the world's most sophisticated prediction markets, handling over £29 billion in volume since 2010 and engaging 200,000+ traders globally. We're a technology company that happens to revolutionise betting - from sports to political markets, to delivering the sharpest prices and the fairest odds. Our stack is designed for scale, reliability, and speed: Linux, Kafka, Postgres, Kubernetes, with Python 3, Rust, C++17, and React powering our platform. We build infrastructure that institutions trust while keeping trading accessible to everyone. Our edge? We've thrived through every market cycle, competitor, and industry revolution. At the heart of our success are our people. We create a high-performance environment where exceptional talent can thrive, blending deep business experience with a commercial mindset to drive strategic growth. If you're ready to help shape the future of prediction markets with cutting-edge technology and a customer-first philosophy, Smarkets is where you belong. Responsibilities Lead the design, development, and optimisation of backend services written in Python and Rust Architect and build scalable, distributed systems to meet the evolving needs of the platform Enhance system reliability through robust monitoring and alerting systems Drive and enforce best practices in code quality, testing, and continuous integration/delivery (CI/CD) Collaborate with product managers and engineering teams to define and deliver complex, high-impact projects Mentor and guide engineers across the team, fostering a culture of technical excellence and growth Drive technical decision-making and contribute to the evolution of our backend architecture Ensure the performance and stability of critical services by implementing improvements with a forward-looking mindset Role Requirements 6+ years of experience in software engineering, with a focus on backend systems Familiarity with Python or at least one compiled language (Java, C++, Rust, Go) and are keen on learning Rust Proven experience designing and building distributed systems in modern cloud environments (AWS, GCP, or similar) Deep knowledge of DevOps practices and tools, including GitLab and Kubernetes (K8S) Strong experience with message queuing systems (e.g., Apache Kafka) and relational databases (e.g., PostgreSQL, MySQL) Previous experience in Sports Betting or Finance industries is a plus Excellent communication skills, with a proven ability to collaborate effectively with cross-functional teams Demonstrated leadership in driving complex technical projects to successful completion Our Values Our values are at the heart of everything we do - guiding how we work, collaborate, and innovate. They reflect what we expect of ourselves and each other to deliver the best results, while fostering a positive, high-performing environment: Push to Win: We set ambitious goals and relentlessly pursue them, always striving for excellence. Make Others Better : We lift each other up, share knowledge, and celebrate team success over individual achievement. Give a Shit: We care deeply about our work, our users, and the impact we make. Be a Pro : We take ownership, act with integrity, and consistently deliver to a high standard. Bring the Energy : We bring positivity, curiosity, and enthusiasm to everything we do, inspiring those around us. Culture Fit: These values define how we succeed as a team. If this isn't you, this may not be the right place. We hire people who thrive in a fast-paced, collaborative, and ambitious environment. Perks & Benefits We offer a competitive salary and benefits package, alongside a dynamic, collaborative environment where your work truly makes an impact and your voice is heard. Our team is diverse, driven, and ambitious - united by a strong work ethic and a hunger to innovate and win. Our benefits are designed around Health, Wealth, and Development, supporting you both professionally and personally. These include: Stock Options : Vest over 4 years, your success is our success. Pension Scheme: Competitive plan via Aviva, with up to 6% matched contributions if you opt in. Health Insurance: Comprehensive coverage to keep you and your family healthy. Enhanced Parental Leave : Enhanced maternity and paternity leave to support you through life's most important moments. Stay Fuelled: Enjoy fresh, chef-made breakfast and lunch every day, plus a constant supply of fruit, snacks, tea, coffee and soft drinks, because great work starts with great food. Cycle-to-Work Scheme : Support for sustainable commuting and staying active. Learning & Development : £1,000 annual education budget for courses, conferences, books, or training. Holiday: 25 days paid leave + bank holidays, with the option to carry over 5 days. Flexible Working: Hybrid model with 3 days in the office and 2 days from home to fit your lifestyle. Global Working: Work from anywhere in the world for up to 20 days a year. Team Energy: Regular socials, hackathons, and events — because collaboration and fun go hand-in-hand. What happens next​ We aim to have a simple and speedy hiring process, and we want to make sure that we are right for you as much as the other way around. CV application review: We will review it as quickly as possible Let's chat : Quick chat with our team about your experience and the role Technical Interview: Live Coding + System Design Experience and Mindset Chat : with an Engineering Manager In Office Interview : Lunch with other colleagues in the team + LT chat Diversity & Inclusion We're an equal opportunities employer and celebrate diversity in all its forms. If you need any adjustments during the recruitment process, please let us know — we're happy to accommodate your needs. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role To scale our scientific intelligence and data curation capabilities, we are looking for three Research Engineers * to train and evaluate the foundation models behind our materials discovery platform: representation learning over crystal structures and properties, LLM fine-tuning and post-training for scientific tasks, and the evaluation and data work that makes those models useful. You will work in a small team where each person owns a model end to end, from data and experiment design through training at scale to integration. *Note that you would be joining as a 'Member of Technical Staff', but the job title above hopefully helps to explain the nature of this role. Your Impact You will be responsible for building and training specialised foundation models on terabytes of scientific data at massive scale , fundamentally enhancing our platform's multi-modal capabilities . The modalities span crystal structures, properties, text and images. Depending on your background you may lead on self-supervised representation learning, LLM fine-tuning and post-training (SFT, RL), or the evaluation suites that decide between them. What You Will Do Research and Model Training at Scale Design and run experiments : scaling studies, ablations and evaluations that settle which modelling choices survive. Lead efforts in parallel training of multi-modal foundation models at scale (e.g. orchestrating parallel training across hundreds of GPUs and handling data in the order of Terabytes). Apply strong software engineering best practices to ensure the systems are scalable, reliable, and maintainable. Own the data curation and evaluation design for your models; these outlast the modelling decisions. Scientific Collaboration & Integration Partner closely with our Chemists and Materials Scientists to integrate computational and experimental workflows into one seamless optimisation loop. Be proactive in learning the technical vocabulary of materials science and experimental chemistry to facilitate meaningful interactions with domain experts. Contribute to our mission by ensuring all system designs align with CuspAI's commitment to sustainability and world-changing challenges. Must Have Skills and Qualifications: You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building. Strong software engineering skills and a proven track record of building complex, high-performance systems at scale in a production or industrial environment. Hands-on experience training or evaluating large models in a distributed setting. For senior candidates this means having led a multi-hundred-GPU training effort; for earlier-career candidates, having been a core contributor to one. Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning. We care more about one substantial, scale-y project than about breadth. A deep interest in the connection between AI and materials science or chemistry, and a willingness to rapidly learn the scientific vocabulary of the discipline. Master's or PhD in CS, ML or a related quantitative field, or equivalent experience. We are hiring across levels: from strong early-career research engineers (typically 1 to 3 years at a frontier lab or equivalent) to senior and staff engineers who have led model programmes. Experience with representation learning and computer vision, e.g. self-supervised or contrastive pre-training, learning embeddings, or building models that pull structured information out of images such as figures, plots and diagrams. Bonus Points (But Not Critical): RL for post-training (RLHF, GRPO-style methods) or RL in agentic settings. Experience at a frontier lab or a team that ships models at scale. Prior experience applying machine learning models specifically to problems in materials science, chemistry, or molecular informatics. Exposure to multi-modal training (e.g. text, vision, etc.) and how to combine modalities in a meaningful way. Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices , with the expectation of being in the office three days per week . Additionally, there may be regular travel required to our other offices for collaboration and project oversight. What We Offer A competitive salary: We value and reward impact and growth Equity in CuspAI: You have a stake in the success of the company Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. ROLE SUMMARY Firmus Technologies is seeking a Principal Engineer, AI Cloud Software to own the Firmus AI Cloud API and the control plane behind it. Customers, partner platforms, and AI agents use our API to provision and run GPU compute, and our console, SDKs, CLI, and Terraform provider are all built on it. You will set the technical direction for all of it. Everything you design must work across sites and scale to hundreds of thousands of GPUs in gigawatt-scale AI factories. KEY RESPONSIBILITIES Architecture and decisions Own the overall design of the public API: the resource model, contracts, versioning, and the compatibility promise customers and partner platforms build against. Set one contract style, one identity model, and one versioning policy that every domain team follows. Own the software architecture behind it: service boundaries and the control-plane model. Set a target architecture two to three years ahead and plan the steps from today's system to it. Design the control plane to keep each region serving when another fails, protect it under load with per-tenant rate limits and fair queuing, and remove the limits that would block growth in tenants, resource types, sites, and request volume. Lead design reviews for significant changes across the teams, sign off architecture decision records, and settle technical disputes escalated by engineers. Decide at pace with incomplete information, write down the assumptions, and revisit a decision when the evidence changes. Build and evolve Write production code for the hardest parts of the API and the control plane. Expose the full lifecycle of compute, virtual networking, storage, and Kubernetes resources through the API, on top of the infrastructure, network and storage controllers' other teams own. Give every resource a stable identifier, track multi-step requests to completion, and offer break-fix actions such as reboot, reset, and maintenance notices. Build identity and tenancy into the API: organisations and projects, federated sign-on with MFA, automated user provisioning, group-based roles, and service accounts. Give customers, partner platforms, Firmus operations teams, and AI agents acting for a customer safe access through the same API, with scoped credentials, approval for destructive actions, and a full audit trail. Keep the console, SDKs, CLI, and Terraform provider consistent with the API, built from a single contract. Ship each capability as a supported feature, not a one-off for a single customer. Reliability, security, and cost Set SLOs and error budgets for the API and control plane and use the budget to decide when reliability work comes first. Lead the technical response to major incidents in the API and control plane and make sure every post-mortem ends with a fix that stops it happening again. Design usage records accurate enough to bill from and for customers to verify, with quotas and audit logs that customers can query through the API and export. Design every service to survive rolling node replacement without customer impact, and keep dependencies and images patched within policy. Keep Firmus' SOC 2 Type 2 and ISO 27001 controls passing at every new site. Own cost at the design level and raise any design change that alters what customers consume. Technical leadership Grow engineers through mentorship, design review, and code review. Hiring and performance review sit with the Engineering Manager. Set the software engineering standards other teams build to, covering API design, testing, code review, and service templates. Each team's principal still owns the architecture of their domain. Set how the team uses AI to build software effectively and securely, with review gates and automated architecture checks that keep AI-generated code within the agreed design. Own the technical interviews and assessments for software engineers and hold every candidate to that bar. Partnership and communication Shape the technical roadmap with product and deliver API and architecture work ahead of the features that depend on it. Agree ownership in writing at each boundary with platform, data, observability, security, compute, storage and network teams, and settle disagreements directly. Represent your team in customer and partner briefings on AI cloud software design, tenancy, reliability, or a contract change, and bring what you learn back to product. SKILLS AND EXPERIENCE Bachelor's degree in computer science or a related technical field, or equivalent practical experience. 10+ years in software engineering, including at least 3 years at principal level or equivalent, setting the technical direction that multiple teams delivered against. You are still hands-on and intend to stay that way. Has designed and evolved a public API that external customers built against: the resource model and lifecycles, OpenAPI or gRPC contracts, versioning, and backward compatibility, with at least one SDK, CLI, or Terraform provider kept in step. Has run a multi-tenant control plane across more than one region or data centre, serving thousands of tenants or millions of API requests a day, with failure isolated per region. Has built identity and security into customer-facing software: federated sign-on (OIDC or SAML), user provisioning (such as SCIM), role-based access, tenant isolation, secrets handling, and dependency patching, under SOC 2 Type 2, ISO 27001, or an equivalent control set. Strong distributed-systems fundamentals: consistency, idempotency, retries and backpressure, long-running workflows, and the failure modes of a control plane under heavy load. Production Kubernetes experience beyond deploying to it, including control-plane services built on the Kubernetes API with custom resources and controllers. Strong in Go or Python, with infrastructure as code and CI/CD as part of daily work. Has run a reliability programme other engineers followed: SLOs and error budgets, change control, and incident reviews that changed the system. Clear written and verbal communication in English, able to explain problems, decisions, and trade-offs to engineers, executives, and customers. Willing to join the on-call rotation for the services you own and to travel overseas occasionally. Bonus Points Background at an AI cloud or high-performance compute provider. Exposed virtual networking (such as VPCs, security groups, and private DNS) or GPU nodes lifecycle through a customer-facing API. Built usage metering, quotas, or billing for a multi-tenant control plane. Built hosted or virtual Kubernetes control planes, or tenant isolation for a managed Kubernetes product. Built customer-facing web applications (React or similar), with enough depth to keep the console consistent with the API. Built agent-facing tooling, such as agent-callable APIs, CLIs, or MCP servers, with safety and governance controls. Led a team's use of AI-assisted and agentic engineering, measured by delivery outcomes and token cost, and kept it secure with sandboxed agents, least-privilege access, and review gates. Certifications such as CKAD or CKA, or AWS Solutions Architect Professional. LOCATION Singapore or Australia Find more English Speaking Jobs in United Kingdom on Arbeitnow

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities. Your Core Responsibilities: The opportunity to be in a brand new position in a growing team Develop large-scale distributed training pipelines to manage datasets and complex models Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems Develop libraries to improve the performance of machine learning frameworks Maximize performance in training and inference using GPU hardware and acceleration libraries Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities Dig into the internals of open-source ML tools to extend their capabilities and improve performance Your Skills and Experience: 5+ years of experience in machine learning with a focus on training or inference systems Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus Strong engineering skills, including Python, CUDA, or C++ Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT) Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL) Exposure to cloud platforms and orchestration tools A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Valova We are building the AI operations platform for European hospitals, so every clinician can focus on patients. Behind every patient sits a chain of admin work: documentation, coding, billing, audits, scheduling. It runs through disconnected systems and endless manual hand-offs , while most German hospitals already operate at a loss . We start where the impact is measurable from day one: case to cash . Valova codes every case, defends it in audits and makes sure the money lands. From there we take on every workflow that runs a hospital , until one agentic system handles the routine and people decide the exceptions. First Germany, then Europe. Doctors, engineers and operators, on-site in Munich and Berlin . Join us! Why this role matters Valova only works as well as it fits into the hospital. Our product creates the most value when it's deeply connected to a hospital's systems and built around how coders and medical controlling actually work. Today, connecting to a hospital information system can take months. That's time hospitals keep losing revenue and coders keep working by hand. That's where you come in. As Forward Deployed Engineer, you own technical go-lives from start to finish : from the first sandbox to production, from the interface to the workflow on the ward. You're the bridge between hospital IT, the people who use Valova and our engineering team . Your impact is easy to see: in hospitals that go live faster, in integrations that run reliably, and in a product that gets better with every deployment because you bring back what you learn. This is a hands-on engineering role with real code in production and direct influence on our roadmap. It's not a support desk, not a pre-sales role and not project management where others do the building. And it's not a desk job: you'll regularly be on site in hospitals How the role sits in the team You report directly to Christian, our CTO, and work day to day with our engineering team on connectors, deployments and internal tooling. With Malte and our product team, you turn what you see in hospitals into clear requirements. In hospital projects, you work hand in hand with our customer success and sales team and on the hospital side with IT leads, KIS vendors, coders and medical controlling. What you will do Bring hospitals live: You take hospitals from sandbox to production, deploy Valova on hospital VMs and connect it to KIS systems such as SAP i.s.h.med, Orbis or Dedalus. Build the connections: You build and maintain interfaces (HL7, FHIR, archive and document exports) together with hospital IT and their partners. Set up Valova for each customer: You configure document types, case filtering, department rules and coding workflows. Learn from the ward: You work on site with coders and medical controlling and turn their friction into clear product requirements. Make deployments repeatable: You write the code that makes the next go-live faster: connectors, scripts, monitoring and internal tooling. Earn the hospital's trust: You answer technical questions in security and data protection reviews (BSI C5, GDPR). What we are looking for: Engineering experience: At least two years in software engineering, and you're comfortable with Linux, Docker and basic networking. Integration know-how: You've worked on system integrations. Experience with HL7/FHIR or SAP environments is a big plus. Customer focus: You enjoy working with customers and explain technical topics clearly to IT leads and coders alike. High ownership: You move things forward, even when three parties are involved. Travel: You're happy to spend around 30 percent of your time at hospitals across Germany. Languages: You speak fluent German and English, since our customers work in German. Location: You work from our office in Munich or Berlin. Missing one or two points, but convinced you're the right person for this role? Apply anyway. We're looking forward to meeting you! What you get Work that means something, every day. Your agents are the core of our product and directly help improve the German healthcare system. Ownership from week one. You take over real projects with a clear outcome and your name on it, not a list of tasks someone else defined. Direct access to the founders. You work day to day with our founders Sophia, a physician and ex-McKinsey consultant, and Christian, who has founded two health tech startups and spent a decade building clinical systems. No layers, no waiting weeks for approvals. Trust and freedom. We trust you to solve problems your way, and the team has your back 100%. Learning at startup speed. You will see more in one year here than in three years elsewhere, across models, infrastructure, product and customers, with a team that has a proven track record of deploying AI in healthcare. One team, in the heart of the city. We work together on-site at WeWork Odeonsplatz in Munich and WeWork in central Berlin. Fully serviced offices with coffee, meeting rooms and phone booths mean zero admin, and the city-center location means short commutes, easy access to customers and investors, and lunch spots around every corner. Team events that bring Munich and Berlin together, because the people you build with should also be the people you celebrate with. What success looks like After 3 months, you know Valova's stack inside out and have taken a hospital through its first technical setup together with our team. After 6 months, you've taken at least two hospitals live, and a new KIS connection takes weeks instead of months. After 12 months, our deployments are largely repeatable: connectors, scripts and monitoring you built make every go-live faster. Throughout, what you learn in hospitals shapes our roadmap, and hospital IT teams see you as their trusted contact at Valova. How it works Just upload your CV with your application. We'll get in touch with you for the next steps: Intro call (30 min): We get to know each other, talk about your background and answer your first questions. Technical interview with Christian (CTO) (60 min): We dive into your engineering experience and the integrations you've built. Case: You work through a realistic hospital integration scenario and present it to the team. References: We speak with two or three people you've worked with, such as former managers or colleagues. Meet the team: You spend a day with us on-site in Munich or Berlin, meet our founders Sophia and Christian and see how we work day to day. Offer: If it's a match for both sides, you'll hear from us quickly. We look forward to your application, regardless of gender, background, religion, disability, age or sexual identity. Find Jobs in Germany on Arbeitnow

About the Team OpenAI's Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Production-ready deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI's products evolve. This role is based in Munich. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You might thrive in this role if you: Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, product engineering or technical consulting. Are fluent in both German and English Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems—not only program or stakeholder management. Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Find more English Speaking Jobs in Germany on Arbeitnow

Who We Are Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . We also offer private, useful, and optional AI, including Duck.ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! Your Team and Role Working on the C++ Functional Team, you'll build the high-performance code at the core of DuckDuckGo's browser using modern C++ and Chromium, and work on related projects. You can expect to work on projects like: Implement tracker blocking that stops hidden trackers on every site without slowing page loads. Bring VPN and Personal Information Removal into the browser through the DuckDuckGo subscription. Catch startup and responsiveness regressions automatically, so the browser stays fast as it grows. As a Senior C++/Chromium Engineer, you'll lead complex projects from proposal through post-mortem. You'll turn vague problems into clear plans, build them in a large modern C++ codebase, and use metrics to show they worked. Some days that means low-level systems work. Others, it means architecture decisions the whole team builds on. You'll collaborate with design and product, mostly asynchronously, to build features people use to protect their privacy. About You Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics 7+ years of software engineering experience Advanced modern C++ expertise (C++23 or newer), including memory management, concurrency, and performance profiling Experience driving technical work end-to-end on large-scale C++ codebases Comfort with large build systems, debuggers, and profilers Experience shipping software to a large consumer audience Solid computer science foundation (algorithms and data structures) Bonus: Windows development experience Bonus: experience with browsers (Chromium, WebKit, WebView), game engines, or large desktop applications Compensation $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. Hiring Process Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire . Diversity, Equity and Inclusion DuckDuckGo provides equal work opportunities to all team members and applicants , and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to Please note that: You'll be required to attend meetings on camera via video conferencing Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. A successful candidate must pass a background check as a condition of joining the team. By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants' experience, interviews, and project performance, and help streamline our selection process. Key Principles: Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy . We ensure that your personal information is protected and used solely for recruitment purposes. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at Compensation: $178.5K • Offers Equity Annual Compensation • Annual Compensation $178.5K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow