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Description: Looking for an employer you can count on? Join us! Senior Platform Engineer AI & Observability (m/f/d) Your Role and Responsibilities: Design, deploy, and operate scalable AI, observability, and cloud-native platforms based on Kubernetes and HPC technologies. Build and optimize AI services, LLM inference platforms, and GPU-enabled workloads. Develop and maintain monitoring, logging, tracing, and security solutions using open-source technologies. Create standardized deployment workflows, automation, and platform best practices. Enable reliable, secure, and multi-tenant operation of federated research infrastructures. Collaborate with project partners and provide technical leadership in architecture, implementation, and operations. Your Qualifications: Required/Minimum Qualifications Master's degree (or equivalent) in Computer Science, Data Science, Computer Engineering, or a related field. Other Requirements Experience with Linux, Docker, Kubernetes, and cloud-native technologies. Knowledge of observability, monitoring, logging, tracing, and security concepts. Programming and scripting skills, preferably in Python, Go, or Bash. Experience with DevOps, MLOps, platform engineering, or infrastructure automation. Strong communication, collaboration, and problem-solving skills. Excellent written and spoken English. Additional or Preferred Qualifications: Experience with AI, machine learning, LLMs, or AI-assisted operations. Hands-on experience with inference frameworks such as vLLM, Triton, Ollama, or Llama.cpp. Experience operating GPU-accelerated, large-scale Kubernetes, or HPC environments. Knowledge of Prometheus, Grafana, Helm, GitOps, and CI/CD. Familiarity with RAG architectures, vector databases, MCP-based services, or AI agents. Experience with security monitoring tools (such as Falco or Tracee). Experience in research projects or open-source software development. Conditions: Working time full time (40 hrs) flexible working model with electronic time recording Contract duration 30.09.2029, a further employment is intended Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. + 31.12. additionally day off) Overtime is compensated by additional time off Benefits Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership What you can expect at LRZ: Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX). Further information: We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 23.10.2026. Subject: Senior Platform Engineer (20 26 / 50 ) Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions. This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application! Here you will find information about the collection of personal data during the application process. Find more English Speaking Jobs in Germany on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Switzerland on Arbeitnow

Who we are Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. Join us in this exciting journey and help us shape the future of social interactions! About this role As Yubo continues to scale, Machine Learning is becoming a core production layer , powering critical systems across safety, recommendations, and product optimization. What makes this role unique is both the scale and diversity of our data , and the level of maturity we are aiming to reach . We process massive volumes of images, text, and real-time user interactions , across millions of users worldwide, creating a wide range of high-impact ML challenges, including: Content moderation (image, text, behavior) Recommendation systems and user engagement optimization Behavioral detection and trust & safety models Emerging use cases such as dynamic pricing and growth optimization At the same time, our current ML stack is still evolving. Legacy models are not fully integrated into pipelines, lifecycle management remains inconsistent, and our approach can sometimes resemble "develop, deploy, and forget." As ML usage expands across the company, this creates increasing complexity and dependency on reliable, well-structured systems . There is still a huge amount of untapped potential , with many ML use cases yet to be designed, tested, and scaled, but unlocking it requires building a more robust and scalable ML operating model. We are therefore looking for a Senior ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of Platform Engineering). You will play a key role in delivering ML initiatives across the company, helping turn promising ideas into reliable production systems. You'll work on everything from model development and experimentation to deployment, monitoring, and continuous improvement, while contributing to the evolution of our ML platform and engineering practices Your responsibilities ML Systems & Delivery Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.). Design, train, evaluate, and deploy ML models where appropriate. Balance speed of delivery with robustness and reliability. ML Lifecycle & Reliability Drive improvements across the ML lifecycle (training, deployment, monitoring, iteration). Establish KPIs and monitoring standards to track model performance over time. Ensure continuous alignment with product and safety objectives. Help improve the reliability and observability of production ML systems. Platform & Standardization Contribute to the evolution of our ML platform through tools, workflows, and reusable components. Help establish and promote scalable ML engineering practices across teams. Contribute to improving self-service ML capabilities where relevant. Legacy & Advanced Use Cases Take ownership of legacy models and realign them with current business needs. Improve, retrain, and integrate them into modern pipelines. Contribute to best practices around LLM usage in moderation, recommendation, and other product domains. Explore and implement advanced ML approaches where relevant. Cross-functional Collaboration Partner with Data Engineering, MLOps, Backend Platform, and Product teams. Act as a bridge between ML, platform, and business stakeholders. Provide technical leadership on ML initiatives and help improve engineering practices across teams. Share knowledge and help raise the overall ML maturity of the organization. Our technical environment / ML scope ML frameworks: PyTorch Languages: Python (data stack) Core topics: Neural networks, LLMs, data sampling Use cases: Recommendation systems, safety algorithms, moderation Ecosystem: Data Engineering, MLOps pipelines, Backend Platform Who you are You have 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes). You have strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX). You are highly proficient in Python (data ecosystem). You have strong knowledge of neural networks and practical experience with LLM-based systems. You understand ML systems end-to-end (data → training → deployment → monitoring). You have strong experience in production ML systems, not only research. You demonstrate strong product sense and can align models with business needs. You are pragmatic and impact-driven, balancing experimentation with delivery. You are able to explain complex ML topics clearly (strong pedagogy). You operate well under ambiguity and can structure complex problems. You are able to drive technical decisions and influence stakeholders through expertise and collaboration. In your first 6 months, you will Deliver an end-to-end ML use case to validate impact and execution. Audit and improve lifecycle management of existing ML models. Refactor and retrain at least one legacy safety model. Build reusable ML components that improve development efficiency across teams. Improve monitoring and observability of production ML systems. Contribute to the evolution of our ML platform and engineering practices. Help move critical ML systems toward more reliable and measurable long-term operation. The recruitment process Phone screen with a Talent Acquisition Manager Interview with Mikael (Platform Engineering Director) Technical case study Cultural fit assessments What we offer A highly competitive salary range as well as equity in the company A highly flexible remote work policy, 2 days at the office per month, with monthly team events. We also cover fees for external professional events and meetups (Android Makers, etc…) Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. Our approach to privacy & safety As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts. Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact. Here's how we live our mission every day: Y ou own the impact: Step up, adapt, and make it matter U nconventionally Smart: Hack with intent, borrow smart, build better B e Bold & Resilient: Raise your head, break barriers, keep moving forward O ne team, one mission: No egos, no passengers, just shared wins Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you. Enjoy Top-notch Benefits Culture is central at Yubo, hence the numerous benefits: Cool Workplace : enjoy our amazing Parisian office and our many hybrid work options Team Activities : participate in get-togethers, events, and team-building activities Family-Friendly : we support parents with childcare options and family-friendly policies Wellness Programs : benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives Find more English Speaking Jobs in France on Arbeitnow

Your creative field We are looking for a Platform Engineer (all genders) to start as soon as possible in a full-time, permanent position. We embrace a remote-first approach, but you can choose whether you'd like to work in a hybrid model or entirely on-site, depending on your proximity to one of our locations. What convinces us The availability and performance of our platform are of the utmost importance to our customers' satisfaction. These systems form the foundation of Contabo's most important products, which is why the smooth operation of the environment has a direct and immediate impact on the company's success. To keep our systems running and our customers satisfied, you'll take responsibility for the operation and further development of our hosting platform—from Proxmox/KVM virtualization to storage (ZFS, Ceph) and networking, all the way through to monitoring and observability. You'll serve as the technical escalation point for our Platform Support team, analyze complex issues to their root cause, and ensure that problems do not recur. You'll use Ansible and Git for automation, plan and oversee maintenance, upgrades, and migrations, and contribute to capacity and hardware planning—for example, when introducing new hardware generations or setting up new locations. You'll be responsible for your own domain of the platform, make well-informed design decisions, and document them in a transparent manner. You'll actively share your knowledge with the team. In doing so, you'll work closely with Platform, Support, Dev, Network, and Security to solve problems together and drive improvements. Since our teams and data centers are spread across the globe, part of your work will also be conducted in English. Awesome Prospects Your personality, combined with: training as an IT specialist in system integration, a degree in computer science, or a comparable qualification and experience several years of professional experience (at least 5 years) in the operation or development of large-scale Linux and virtualization environments solid hands-on experience with Linux (troubleshooting, performance), Proxmox/KVM or comparable virtualization technologies, Ansible, and monitoring solutions (e.g., Zabbix, Prometheus/Grafana) Ideally, experience with ZFS and/or Ceph, networking fundamentals (BGP, L3 routing, VLAN, Open vSwitch), Git/CI, and scripting in Bash or Python Self-motivation and a proactive approach: You contribute ideas, document decisions clearly, and enjoy sharing your knowledge with others A plus: Terraform, Kubernetes, Vault, PowerDNS, or experience in a hosting/cloud environment Enjoy working with other teams and working independently Very good German and English skills How to reach us If you have any questions, you can reach out to Max by email at . Find more English Speaking Jobs in Germany on Arbeitnow

Your creative field We are looking for a full-time, permanent Senior Network Engineer to start as soon as possible. We live remote-first, but you have the freedom to choose whether you want to work hybrid or completely on-site due to your proximity to one of our locations (Berlin, Cologne, Hamburg, Munich). Contabo Group operates one of Europe's largest cloud infrastructure platforms, with data centres across Europe and beyond. As our new Senior Network Engineer, you take on the network backbone that thousands of customers rely on every day, with real ownership from day one. Right now, the biggest milestone on your plate is the build out of our new AI data centre. You inherit a fully designed Leaf-Spine architecture built on Arista EOS, BGP EVPN, and VXLAN, take ownership of it, refine it where it needs refining, and drive everything from commissioning through to stable production operations. Alongside that, you keep our existing LTG infrastructure running reliably: you design, build, and operate complex network, server, and security systems, analyse and resolve faults, and harden our network security through scrubbers, firewalls, ACLs, and NAC. You monitor network traffic and infrastructure performance, extrapolate the KPIs that matter to management, and coordinate with external service providers and remote hands across the globe. You keep our network diagrams, runbooks, change logs, and system documentation in good shape, and you work closely with Platform Engineering on Cilium BGP peering, Kubernetes node network configuration, and IPAM, acting as the ongoing interface between NetOps and Platform. You join a self-organising, agile team that owns its problems end to end, from analysis to resolution, without micromanagement. On top of that, you will have real room to grow into infrastructure automation, DDoS mitigation with Nokia Deepfield, observability, and BGP EVPN fabric engineering, alongside plenty of national and international project work. You report directly to our Head of Network and become the permanent owner of everything networking related at Contabo Group, Blue and Black alike. Communication, team orientation, problem solving, and analytical thinking matter just as much here as deep technical expertise, since you will regularly work across teams and explain complex topics to people outside networking. What convinces us Your personality, paired with: minimum 5 years of hands-on experience with complex, scalable networks and fabric infrastructures on Cisco and/or Arista, ideally with real Leaf-Spine and BGP EVPN VXLAN exposure strong expertise in WAN connectivity, data centre peering, uplink management, VPN, and IPv6 strong expertise in security administration and DDoS mitigation (e.g. Nokia Deepfield, Aurologic), plus solid monitoring skills with tools like Grafana, Check_MK, or Zabbix good scripting and automation skills with Ansible, Terraform, Python, or similar strong analytical and strategic thinking, paired with clear, confident communication a results-driven, hands-on mindset with a high standard of performance, customer orientation, and composure under pressure genuine team spirit, reliability, and a self-driven way of working that thrives without micromanagement experience with Network Access Control solutions, BGP Flowspec, virtualisation (Proxmox), and IPAM systems such as NetBox strong conflict-handling skills, a knack for building contacts across teams, and openness to change a basic understanding of Kubernetes networking, ideally paired with an Arista certification (or equivalent Cisco knowledge), a completed IT apprenticeship or equivalent, and German language skills alongside excellent English We know that you may not currently meet all the requirements. But if you come to us with the right amount of commitment and enthusiasm, we can take off together and make a big difference. Awesome Prospects At Contabo, we are constantly evolving. Our growth creates space for new ideas, ownership, and real impact for people who want to make a difference. What defines us is trust, direct communication, and an open feedback culture. We believe the best solutions are built together and that everyone has the opportunity to contribute, grow, and leave their own footprint. Additionally, we offer: Work the way that fits your life – Remote or hybrid with flexible hours for a healthy work-life balance and the same technical equipment at home as in the office Experience real freedom – Workation across the EU and in our summer office in Mallorca Stay active and healthy – Access to EGYM Wellpass and thousands of fitness and wellness facilities Enjoy exclusive perks – Attractive discounts on many products and services through our corporate benefits program Recharge your energy – 30 days of vacation plus additional days off on Christmas Eve and New Year's Eve Give back – An extra day off to get involved in social activities through our Volunteer Day Make an impact – Take ownership and bring your ideas to life with real creative freedom Keep growing – Individual professional and personal development opportunities in an innovative tech environment Feel comfortable where you work – Modern, conveniently located offices across our European locations Be part of a diverse team – Work in an international environment shaped by diversity Create lasting memories – Company events and team activities you won't forget How to reach us If you have any questions, you can reach out to Max by email at . 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Du möchtest eine AI Plattform entwickeln, die täglich von 1.500 Mitarbeitenden genutzt wird? Du verbindest Cloud Engineering mit Softwareentwicklung und hast Lust, neue AI Technologien in zuverlässige Lösungen zu überführen? Dann könnte diese Position als AI Platform Engineer genau die richtige Herausforderung für dich sein. Unser Kunde ist eine schnell wachsende, börsennotierte Unternehmensgruppe mit aktuell rund 55 Softwareunternehmen im Portfolio. Diese sind auf hochspezialisierte B2B-Softwarelösungen ausgerichtet – vielfach in sicherheitskritischen, öffentlichen oder infrastrukturellen Anwendungsbereichen. Deine Benefits Remote First: Bis zu 95 % Remote Arbeit mit mindestens einem Tag pro Monat im Büro in Köln Flexibles Arbeiten: Hohe Eigenverantwortung bei der Gestaltung deines Arbeitsalltags. Arbeitskultur: Modern, kurze Entscheidungswege und ein sehr ambitioniertes Team Direkter Impact: Deine Arbeit beeinflusst eine AI Plattform, die im gesamten Unternehmensportfolio eingesetzt wird & du arbeitest direkt mit dem C-Level zusammen Attraktive Vergütung mit festem Grundgehalt und erfolgsabhängigem Anteil Deine Aufgaben Im Mittelpunkt steht die Weiterentwicklung des internen AI Hub auf Basis von Open WebUI. Die Plattform wird für verschiedene Portfolionternehmen bereitgestellt und laufend um neue Funktionen, Integrationen und technische Möglichkeiten erweitert. Platform Engineering: Entwicklung neuer Integrationen, Container Images und Deployment Lösungen AI Integrationen: Pflege und Ausbau des Katalogs aus Tools, Skills, Agents und Integrationen AI Evaluation: Weiterentwicklung des Evaluationssystems zur Messung und Verbesserung von AI Agents Infrastructure as Code: Automatisierung und Weiterentwicklung der Cloud Infrastruktur Release Management: Prüfung neuer Versionen, Bewertung technischer Änderungen und Veröffentlichung stabiler Releases Cloud Infrastruktur: Betreuung gemeinsamer Komponenten wie Application Gateway, WAF, TLS, Redis, DNS und Netzwerkverbindungen Security: Umsetzung von Security Patches und Weiterentwicklung sicherer Plattformstrukturen Monitoring: Überwachung von Verfügbarkeit, Versionen, Deployments und Cloud Kosten über alle Instanzen hinweg Enablement: Erstellung technischer Dokumentationen, Onboarding und Aufbau von Preflight Checks und Guardrails Dein Profil als AI Platform Engineer Min. 2 Jahre Erfahrung in Platform Engineering, DevOps, SRE oder Cloud Operations mit Verantwortung für Produktivsysteme AI-native – du verfügst über praktische Erfahrung mit LLMs und bereits umgesetzten AI Lösungen Praxiserfahrung mit Azure oder AWS Infrastructure as Code – unter anderem Erfahrung mit Bicep, Terraform, CDK oder CloudFormation Sicherer Umgang mit Linux, Docker, Git und CI/CD Erfahrung mit PostgreSQL sowie OAuth, SSO oder Entra ID Gute Python Kenntnisse über klassische Skripte hinaus Selbstständig, strukturiert und lösungsorientiert mit Freude an technischen Herausforderungen Verhandlungssichere Deutsch- & Englischkenntnisse Nice to have: Erfahrung mit internen Plattformen sowie in Multi Tenant oder Multi Customer Cloud Umgebungen Berührungspunkte mit LLM Frameworks, Agents, MCP oder RAG Erfahrung mit Open Source Projekten Französischkenntnisse Klingt nach genau der Herausforderung, die du suchst? Dann freuen wir uns auf deine Bewerbung und geben dir in einem ersten 10 minütigen Call gerne weitere Einblicke in Unternehmen, Team und Position. Find Jobs in Germany on Arbeitnow

Join our mission We're proud to work with many incredible companies, accelerating their ability to build their products. We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run. After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love—but make everything dramatically faster and more cost-effective. Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs-on line, mount your toolchain cache directory and suddenly your builds are 5x faster. About the role Namespace's approach is low-friction, designed for immediate integration into existing developer toolchains, empowering teams to experience tangible results within just five minutes. With an end-to-end stack optimized for high performance—including compute, memory, storage, and networking—Namespace delivers capabilities and efficiencies unmatched by traditional cloud providers. As a DevOps Engineer at Namespace, you'll build and operate the infrastructure that makes this performance possible. You'll own the compute, storage, and networking behind every build our customers run, keeping the platform fast, reliable, and cost-effective as we accelerate more companies around the world. Our culture We're looking for people with grit—people who push through ambiguity, take ownership, and keep going when things get hard. You're deeply curious, driven to understand how things work and how they can be improved. Most importantly, you have a strong bias to execution: you don't wait for perfect conditions, you ship, learn, and iterate quickly. If you care about building, moving fast, and making real impact, you'll fit right in. What you'll do Own the reliability, performance, and scalability of the infrastructure that runs every customer's build, test, and CI job on Namespace. Optimize performance across compute, memory, storage, and networking. Automate provisioning, deployment, scaling, and recovery across our fleet. Build observability, alerting, and incident response processes that identify and resolve issues before they affect customers. Drive capacity planning and cost efficiency, so we continue to deliver infrastructure that is both faster and more cost-effective. Collaborate closely with product engineers to ship new capabilities quickly and safely. What we're looking for Strong engineering fundamentals and hands-on experience operating production infrastructure at scale. Deep knowledge of Linux, networking, and storage, plus experience with tools like Kubernetes, Terraform, or similar. Proficiency in Go, Python, or a similar language, automation is paramount. Deep experience with observability tooling and participating in on-call rotations. A strong focus on performance and a rigorous approach to measuring and improving it. Bonus: experience with bare metal, virtualization (KVM, Firecracker), or running CI/CD systems at scale. You can expect: Competitive salary and stock options Flexible working hours Market-leading parental leave Life at Namespace Labs: We pride ourselves in being a small team of experts that can achieve a lot. We balance our long-term vision with short-term pragmatism. We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions. Find Jobs in Switzerland on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll own how Refractal is built, released and deployed, including our release pipeline, our cloud infrastructure and the packaging that lets regulated customers run Refractal in their own environments. You'll work alongside our Systems Engineer, who is responsible for the production runtime. What you'll do Run and harden our Google Cloud production estate as infrastructure as code. Build CI/CD with signed artefacts, supply-chain verification and fast, safe releases. Package Refractal for customer-hosted and private-cloud deployments that pass enterprise security reviews. Own secrets management, key rotation, environment isolation and on-call observability. Automate the security controls and audit evidence behind our own compliance programme. Success in your first six months Releases are automated, signed and easy to roll back. Customers can run Refractal in their own environments using packaging you built. Our infrastructure is fully codified, monitored and documented. About you: essential 6+ years in DevOps, SRE or infrastructure engineering, owning production systems. Deep experience with Terraform or similar, containers and Kubernetes. Strong Google Cloud or AWS experience, including network and IAM design. Experience with CI/CD and software supply-chain security, including SBOMs, signing and provenance. Python or Go for automation. Nice to have Experience deploying into financial-services or other regulated environments. Familiarity with operational-resilience requirements such as DORA. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £85,000–£140,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £85K – £140K • Offers Equity • £85K – £140K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Swarm Aero is redefining air power, building the largest swarming UAV and the most versatile swarming aircraft network in the world. The company is moving quickly to launch the first aircraft designed specifically for swarming, as well as the Command & Control software to mobilize swarms of thousands of heterogeneous autonomous assets and empower human operators to achieve superhuman results. The team has created and exited multiple startups, negotiated defense deals worth billions of dollars, and designed and built 30+ novel aircraft, with aerospace experience from Scaled Composites, Airbus, Archer Aviation, Blue Origin, and Boom Supersonic. About Swarm Aero Swarm Aero builds Group 5 autonomous aircraft and Legion, our command and control platform for coordinating UAV swarms. We're backed by Founders Fund, Khosla Ventures, and Coatue, and our software is already running on real programs and real hardware. Legion is the layer operators actually touch, and it needs to ship fast, run reliably, and deploy anywhere our customers need it. The role You'll be a core member of the team that builds and runs the infrastructure behind Legion. Working alongside our DevSecOps lead, you'll own day-to-day pipelines, environments, and deployments so our engineers can move quickly without breaking the things operators depend on. This is a hands-on role for someone who likes building systems more than writing tickets about them. What you'll do Build and maintain CI/CD pipelines that take Legion from commit to production across multiple environments Manage infrastructure as code for cloud and on-prem deployments Run and scale containerized services on Kubernetes Build out observability: monitoring, logging, alerting, and on-call tooling Package and deploy Legion to customer environments, including travel to customer and test sites when deployments require it Partner with our DevSecOps lead to bake security and compliance requirements into the platform from the start Help engineers across Legion ship faster by improving developer tooling and environments What we're looking for 4 to 8 years in DevOps, platform, SRE, or infrastructure engineering Strong hands-on experience with Kubernetes, containers, and infrastructure as code (Terraform or similar) Experience building and owning CI/CD pipelines in a production environment Solid Linux and networking fundamentals Scripting in Python, Go, or Bash Active Secret clearance or higher strongly preferred; must be able to obtain and maintain a US security clearance Willingness to travel to customer and test sites Nice to have Experience deploying to air-gapped, disconnected, or edge environments Background in defense tech, government programs, or regulated environments Experience supporting real-time or mission-critical systems ITAR requirement To conform to U.S. Government export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Swarm Aero is an equal opportunity employer. We value diverse backgrounds and experiences and make employment decisions without regard to race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. What We Offer Meaningful equity in a high-growth defense technology company Competitive base salary commensurate with experience Medical, dental, vision, and 401k PTO and paid sick leave Monthly wellness stipend Daily catered lunch (office) Paid parental leave Direct impact on a critical national security mission A world-class team of engineers and operators solving genuinely hard problems Compensation: $140K – $185K • Offers Equity • $140K – $185K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow

Education: Bachelor's degree. Civil engineering, other. Project management. Asset languages: Arabic. Work site environment: Outdoors. Interior. Work setting: Office. Various locations. Relocation costs covered by employer. Residential construction. Federal government or agency. Commercial and/or industrial construction. Office building. Public utilities. Tasks: Coordinate subcontractors activities . Evaluate daily operations . Plan and organize daily operations. Select trade subcontractors . Prepare and submit construction project budget estimates. Hire and supervise activities of subcontractors. Plan and prepare construction schedules and milestones and monitor progress. Prepare contracts and negotiate revisions, changes and additions to contractual agreements. Read blueprint, schemas and drawings. Plan and manage budgets. Direct the purchase of building materials and land acquisitions. Develop risk management plans. Prepare reports. Supervision: Working groups. Contractors. Staff in various areas of responsibility. Certificates, licences, memberships, and courses : Professional Engineer Certification (P. Eng.). Construction Trade Certification. Computer and technology knowledge: Primavera. MS Excel. MS Office. MS PowerPoint. MS Project. MS Word. Specialization or experience: Specialized environmental skills and knowledge. Area of specialization: Project management. Security and safety: Basic security clearance. Criminal record check. Driver's validity licence check. Drug test. Transportation/travel information: Valid driver's licence. Willing to travel regularly. Work conditions and physical capabilities: Work under pressure. Attention to detail. Combination of sitting, standing, walking. Own tools/equipment: Hard hat. Steel-toed safety boots. Cellular phone. Personal suitability: Excellent oral communication. Organized. Team player. Accountability. Employment terms options: Flexible hours. Experience: 5 years or more. Employment terms options: Overtime available. Green job: Involves duties and responsibilities that lead to positive environmental outcomes.

Job Summary Join our dynamic team as a Cashier and Customer Service Associate, where your energy and enthusiasm will drive exceptional shopping experiences. In this role, you will be the friendly face that welcomes customers, handles transactions efficiently, and provides outstanding service. Your multitasking skills and positive attitude will ensure customers leave satisfied and eager to return. This paid position offers an exciting opportunity to develop your retail and communication skills while contributing to a vibrant team environment. Responsibilities Greet customers warmly and assist with their inquiries in a professional, energetic manner. Operate POS (Point of Sale) systems accurately to process sales, returns, and exchanges. Handle cash, credit card transactions, and other payment methods with precision and integrity. Provide product demos and upsell items to enhance customer satisfaction and sales performance. Maintain organized merchandising displays to attract customer attention and promote products effectively. Offer technical assistance or product information, especially for technology-related items or services. Ensure excellent phone etiquette when responding to customer calls or inquiries. Manage time effectively during busy periods to serve multiple customers efficiently while maintaining quality service. Experience Previous experience in retail sales or customer service is preferred but not mandatory; enthusiasm and willingness to learn are key. Bilingual or multilingual skills are highly valued to connect with a diverse customer base. Familiarity with POS systems, cash handling procedures, and basic math skills are advantageous. Experience in merchandising, upselling, or technical sales?particularly involving product demos?is a plus. Strong communication skills, organizational ability, and excellent time management are essential for success in this role. Prior experience in retail or cashier roles that involved customer interaction will help you excel here. Join us to be part of a lively team dedicated to delivering memorable shopping experiences! Your proactive approach and passion for service will make a real difference every day. Pay: $18.25-$28.99 per hour Benefits: Dental care Flexible schedule On-site parking Store discount * Vision care Work Location: In person

Join Our Team! T & R Contracting Ltd. is seeking an organized, reliable, and detail-oriented Bookkeeper to join our team in Powell River. This position is ideal for someone with strong bookkeeping and payroll experience who takes pride in maintaining accurate financial records and keeping accounting processes running smoothly. Working closely with the Controller / Senior Accountant, you will be responsible for day-to-day bookkeeping, payroll processing, government remittances, reconciliations, and general accounting support. If you are comfortable working independently, enjoy problem-solving, and can manage multiple deadlines in a busy contracting environment, we would love to hear from you! Key Responsibilities Full-Cycle Bookkeeping: Maintain accurate financial records, enter transactions, prepare general ledger entries, and assist with month-end and year-end procedures. Accounts Payable: Process supplier invoices, prepare payments for approval, reconcile vendor statements, and resolve discrepancies. Accounts Receivable: Prepare customer invoices, record payments, monitor outstanding accounts, and assist with account follow-up. Payroll Administration: Process bi-weekly payroll, review timesheets, verify overtime, vacation pay and statutory holiday pay, and maintain confidential employee records. Government Remittances: Prepare and submit CRA payroll remittances, GST/PST filings, and applicable WorkSafeBC reporting and remittances. Reconciliations: Complete bank and credit card reconciliations, review general ledger accounts, and investigate discrepancies. Financial Reporting: Maintain supporting documentation, and assist with financial reporting and external accountant requests. Compliance & Confidentiality: Monitor filing deadlines, maintain organized records, and protect confidential financial and employee information. Qualifications & Experience Previous bookkeeping or accounting experience. Payroll processing experience is required. Knowledge of Canadian bookkeeping, payroll practices, and government remittances. Experience with CRA payroll remittances, GST/PST filings, and WorkSafeBC reporting is preferred. Bookkeeping or accounting education is an asset. Experience with Sage 50 or similar accounting software is an asset. Proficiency in Microsoft Excel and Microsoft Office. Construction or contracting industry experience is an asset. What We're Looking For The successful candidate will demonstrate: Strong attention to detail and a high degree of accuracy. Excellent organizational and time-management skills. The ability to work independently and manage competing priorities. Strong problem-solving and reconciliation skills. Professional communication skills and a collaborative approach. Reliability, integrity, and a commitment to confidentiality. The ability to meet payroll, remittance, and financial reporting deadlines. Pay: $27.00-$30.00 per hour Expected hours: 30.0 ? 37.5 per week Benefits: Casual dress Dental care Disability insurance Extended health care Life insurance On-site parking RRSP match Work Location: In person