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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

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The design team at Planet is looking for a Senior Product Designer to shape Planet's platform experience (insights.planet.com - free trial available). In this role, you will be responsible for defining the core user journeys across our platform, addressing the needs of different user types (from admins, to developers, to end users). With a relentless focus on those users, you will define jobs-to-be-done and design end-to-end user flows across web frontends and agentic workflows. You will collaborate closely with Product and Engineering to decompose these workflows into scalable, reusable UX building blocks, ultimately crafting a cohesive, user-centric platform experience. The perfect candidate brings a track record of designing sophisticated, data-heavy geospatial applications. This role is full stack, in the design sense: you take a problem from discovery with users all the way to designing and building the interfaces, side by side with our engineers. This is a full-time, hybrid role which will require you to work from our Berlin or Haarlem office 3 days per week. Impact You'll Own: Product Design Ownership: Lead the end-to-end process from discovery and prototyping to high-fidelity design. Geospatial Interface Design: Create intuitive, powerful geospatial interfaces that translate complex data into actionable insights. User Research: Gather feedback and conduct user interviews in close collaboration with product partners. UI Architecture: Define and architect the interaction patterns and design system for Planet's platform. Cross-functional Collaboration: Partner with product and engineering to ensure top-tier design quality. Culture: Help build and elevate Planet's design culture. What You Bring: 6+ years designing complex digital products, with a track record of shipping technical, SaaS, or B2B software end to end. Bachelor's degree in design or an equivalent field. A portfolio with geospatial or data analytics work: interactive maps, layered geospatial data and time series (time sliders, change over time, comparisons), plus the statistics and charts that turn data into an insight. Solid core craft in UX/UI, interaction design, prototyping, accessibility, and visual design, plus Figma and enterprise design systems. An AI-native way of working. You can prototype in code with AI coding assistants, and you're comfortable with Git and merge requests. Research you run yourself: user interviews and usability testing, synthesized into clear product direction. Comfort with ambiguity. You take vague, complex problems and drive them to a validated solution without daily oversight. A dynamic, iterative, low-ego way of working with PMs, engineers, and other designers. What Makes You Stand Out: Experience designing for developers, data scientists, or AI agents. Hands-on with remote sensing analysis and familiarity with geospatial standards. You enjoy meeting customers and are open to travel within Europe. Experience helping a team adopt new ways of working. Application Deadline: 11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off Compensation: The expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses and/or equity. Germany Salary Range €77.000 — €96.300 EUR San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to ----- or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact ----- with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. Find Jobs in Germany on Arbeitnow

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are looking for a Senior Reliability Engineer with focus on Identity and Access Management (IAM) to join the Corporate Engineering team. As an SRE together with other engineers you will be responsible for the continuous operation, further development and enhancement of Planet's corporate infrastructure and applications, acting as the technical authority for our enterprise identity ecosystem. This is a full-time, hybrid role which will require you to work from our Berlin, Haarlem or Ljubljana office 3 days per week. Impact You'll Own: Help to ensure the operation of Planet's internal IT systems, specifically architecting and maintaining our identity providers (Okta, Auth0, Keycloak). Improve existing and create new solutions by engineering automated zero-day Joiner, Mover, and Leaver (JML) workflows directly from our HRIS (e.g., HiBob). Scripting & Tooling: Use Python or Go to automate repetitive tasks, build custom provisioning connectors for legacy applications, and enforce identity data minimization. Identify and reduce operational toil through automation, making our systems self-healing and predictable. Infrastructure as Code (IaC): Leverage APIs, Terraform, Ansible, or SaltStack to manage configurations as code, moving away from manual UI/CLI changes across our identity platforms. Participate in an on-call rotation and drive the continuous improvement of incident response, root cause analysis (RCA), and post-mortem processes for complex authentication failures. Collaborate closely with Security and other IT teams to embed reliability, scalability, and security best practices from the ground up, ensuring our identity architecture complies with GDPR and Zero Trust principles. What You Bring: 6+ years experience in infrastructure development and/or operations, with a dedicated focus on Identity and Access Management. Bachelor's degree in a related field or equivalent professional experience. Expertise with a scripting language like Python. Track record of working with large web applications or computer clusters and managing complex identity architectures (Okta, Auth0, Keycloak). Experience integrating HR Information Systems with identity directories and handling complex edge cases (re-hires, cross-border transfers). Solid understanding of Network principles and operations alongside modern identity protocols (OAuth 2.0, OIDC, SAML, SCIM). Practical understanding of PKI, certificate lifecycles (S/MIME, X.509), and managing legacy directories like Active Directory. What Makes You Stand Out: Operational experience in deploying and maintaining databases. Experience using Docker, ECS or Linux Containers in a production environment. Awareness of best practices about systems security and defensive programming Experience with version control e.g. Git. Experience in deploying and maintaining virtual machines e.g. KVM, ProxMox. Experience in software development using CI/CD processes and tools e.g. Jenkins, GitLab. Experience with Access Control systems, e. g. Avigilon, Verkada or dormakaba. Experience with Public Key Infrastructure (PKI) and deployment automation, renewal, and revocation of personal S/MIME certificates. Application Deadline: 11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Export Control Requirements: Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off Compensation: The expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses and/or equity. Germany Salary Range €77.000 — €96.300 EUR San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to ----- or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact ----- with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. Find more English Speaking Jobs in Germany on Arbeitnow

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. What you'll do: Design, build and implement security and hardening features for enterprise users: Design, implement, test, and ship cutting-edge security features that strengthen Firefox's security posture. Advance Firefox's security architecture across multiple operating systems: Contribute to and drive cutting-edge improvements to Firefox's core security posture, by building privilege isolation and moving trust boundaries or Strengthen Firefox's security architecture: Improve Firefox's core security mechanisms including cryptographic protocols, WebPKI, and security-sensitive web APIs. Contribute to our security initiatives: Work across teams to investigate security issues, identify root causes, and deliver robust, maintainable fixes. Improve browser reliability and performance: Diagnose and resolve issues affecting stability, correctness, performance, and memory usage in a complex, multithreaded environment. What you'll bring: Systems programming experience and security knowledge: 3+ years of experience in low-level software engineering, strong proficiency in C and/or C++, and a solid understanding of security fundamentals. Debugging and problem-solving skills: Experience diagnosing and resolving issues in multithreaded, cross-platform native applications, including memory and performance challenges. Web platform and modern systems experience: Familiarity with web technologies (HTML, CSS, JavaScript) and interest or experience in Rust; ability to work effectively within large, complex, multi-language codebases. Effective collaboration and communication: Experience working with distributed teams and communicating technical ideas clearly in writing and conversation. What you'll get: Generous performance-based bonus plans to all eligible employees - we share in our success as one team Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) Quarterly all-company wellness days where everyone takes a pause together Country specific holidays plus a day off for your birthday One-time home office stipend Annual professional development budget Quarterly well-being stipend Considerable paid parental leave Employee referral bonus program Other benefits (life/AD&D, disability, EAP, etc. - varies by country) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientation s, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D #LI-REMOTE Req ID: R3247 Hiring Ranges: Remote Germany €68.000 — €91.000 EUR Find Jobs in Germany on Arbeitnow

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market. Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns. For further development and expansion of our successful business, Raisin is looking for a highly motivated, driven, and experienced Director of Engineering to lead both strategically and operationally our Investment and Pension (IPP) teams (25+ engineers) This embraces high-quality conceptual and delivery performance of the teams, the health of the IPP engineering organization and system landscape, an efficient and compliant development process, technical and business ownership of the Raisin's IPP platform, and vendor relationships. At Raisin, we work in a domain driven organization with a binary-star leadership model. In this model, every Director of Engineering has a Product partner (Head of Product/ Director of Product). The Director Engineering (DE) leads both strategically and operationally across multiple cross-functional teams. This embraces the six impact areas (in details below): Delivery quality and speed Domain ownership Team and culture Data strategy Process and compliance Your Responsibilities Delivery quality and speed The DE is: accountable for fulfilling the agreed team commitments to their business-owners in time, scope, and budget responsible for the performance of their teams resolving impediments for their teams nurturing a culture of accountability, pragmatism, and reusability ensuring a strong delivery oriented collaboration between the different engineering teams leading both complex technical and important business projects leading internal software engineering projects and initiatives Domain ownership The DE: drives long-term value creation for their domain is fostering an environment of passion and fun for the business processes in their tribe builds resilient domain expertise in their teams has a deep understanding of the existing system landscape of their teams collaborates closely with their Business Owner and other stakeholders vendor management (evaluating, onboarding, and managing vendors) Tech Strategy The DE: shapes the technical strategy for their teams according to the Raisin's business needs collaborates closely with other Sr. Engineering Leads in shaping and implementing Raisin's Tech Strategy actively initiates and contributes to strategic technical and architectural decisions is always considering the strategic benefits and price of: keeping an existing technical solution introducing a new alternative (e.g framework, tech stack, tooling, process) Team and Culture The DE is: fully responsible for the health, resilience high performance, and development of their teams offering direct leadership of engineering leads and sometimes also tech leads as well encouraging accountability, creativity, risk-taking, and ownership by delegating responsibility attracting, hiring, and retaining top technical talent for Raisin from around the world proactively mentoring and coaching individual team members ensuring a strong delivery-oriented collaboration between the different engineering teams organizing workshops/hackathons representing the company in external tech events advancing Raisin's tech brand recognition shaping and driving knowledge transfer best practices nurturing and protecting our culture of trust initiating, owning and nurturing tech initiatives (like guilds, workshops, regular meetups) recognizing high performance and rewarding accomplishments within their teams Process and Compliance The DE: drives, improves, and applies existing Raisin standards and policies, regulation and data privacy contributes to an optimal toolchain with a high level of automation develops, establishes, and continually improves documentation standards for the engineering organization develops guidelines and best practices to ensure a lean software development process across different product teams is responsible for the KPI-based reporting for their teams actively monitors, analyses, and drives initiatives to continuously reduce their teams' technical debt Your Profile You hold a university degree in Computer Science, Engineering, Information Systems, or related fields or have equivalent practical experience Leadership experience 10y+. You are a senior engineering leader, across projects and teams, with a natural aptitude and passion for growing and developing high-performing teams You have at least 4y experience in FinTech Domain knowledge of Investment products is a strong advantage Strong business mindset Strong AWS knowledge, Java, SQL, Kafka or other messaging solutions You are pragmatic and can handle the balance between both taking and delegating the lead in challenging situations You bring both strong strategic and excellent operational leadership skills You motivate and inspire by outstanding communication and interpersonal skills, both written and verbal, including communicating technical concepts to non-technical audiences You possess solid engineering background and distinct hands-on mentality You are experienced with OKR and KPI-based target agreements You are familiar with architecturally-heavy systems, including designing, implementing, and evolving these system constraints You are fluent in English, knowledge of German or another European language would be a plus Join our mission, join our team – and grow with us! At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities. As part of our team, you will benefit from: Employee Development Budget of €2,000 and four full training days per year. Flexible working hours, home office and 30 vacation days. A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%. Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month. Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs. Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office. You are moving from another country or city to join us? We may support your relocation. Raisin Applicant Privacy Policy We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply. We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Find more English Speaking Jobs in Germany on Arbeitnow

CSQ427R35 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in Germany on Arbeitnow

About the Project Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. Internship Role As a Research Intern (Machine Learning for Software Engineering), you will support the data and modelling work behind the World Model — mining code, building datasets, and running baseline experiments. We are looking for students who are keen to collaborate with industrial companies working with AI, open to out-of-the-box topics, and interested in a long-term collaboration. Key Responsibilities Mine open-source repositories and extract architecture, dependency, and interface graphs from code. Help build and clean (specification → architecture) datasets, including synthetic project generation. Implement and evaluate baseline models (heuristic search, graph ML, or LLM generation) for single pipeline steps. Benchmark models against shared datasets and metrics to compare approaches. Build evaluation harnesses and track experiments reproducibly. Assist with documentation and, where relevant, publication activities. Required Qualifications Currently enrolled in a BSc/MSc in Computer Science, Data Science, Mathematics, or similar. Experience with Python and ML frameworks (PyTorch, scikit-learn). Interest in machine learning for code, software engineering, or formal methods. Good English and teamwork skills. Desired Qualifications Predictive models/time-series/etc. LLM tooling. Familiarity with graph machine learning (PyTorch Geometric or DGL). Interest in formal methods, program or static analysis, or working with code structure (e.g. AST manipulation, tree-sitter, or repository mining). Application Details Please submit: CV Short motivation letter (max. 1 page) explaining your interest and relevant skills Transcript of records (GPA obligatory) Find more English Speaking Jobs in Germany on Arbeitnow