Find Your Dream Career

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're hiring an Infrastructure Engineer (OpenStack Ironic Specialist) to design, operate, and continuously improve the bare metal provisioning platforms that underpin Nscale's infrastructure. This role sits within the Infrastructure Engineering team , which is responsible for the design, implementation, operation, and ongoing improvement of the infrastructure stack supporting both internal and customer-facing services. You'll work closely with network, compute, data centre, support, and pre-sales teams , while also serving as a specialist escalation point for advanced provisioning and hardware issues. This is a high-impact role focused on OpenStack Ironic , automated hardware lifecycle management, and the reliable operation of large-scale physical infrastructure. You'll also help connect Nscale to the broader upstream OpenStack community , ensuring our bare metal platforms evolve in line with real operational needs and industry direction. What you'll be doing Bare Metal Provisioning & Lifecycle Management Design scalable and resilient bare metal provisioning platforms with a strong focus on OpenStack Ironic . Own the full lifecycle of physical infrastructure, including discovery, enrolment, provisioning, cleaning, deprovisioning, and hardware state management. Build and maintain provisioning workflows for a wide range of hardware profiles, including GPU-enabled and high-performance server platforms. Support platform upgrades, lifecycle management, and operational improvements across Ironic and its dependencies. Automation & Platform Integration Manage and improve integrations between Ironic and related OpenStack services such as Nova, Neutron, Glance, Keystone, and Placement . Drive automation for hardware onboarding, firmware and BIOS configuration, deployment workflows, validation, and recovery. Implement infrastructure automation using infrastructure-as-code and configuration management approaches. Ensure provisioning platforms and operational processes align with security, compliance, and operational standards. Troubleshooting, Reliability & Operational Support Troubleshoot complex issues across provisioning pipelines, PXE/iPXE , BMC interfaces, out-of-band management, image deployment, network boot, and hardware compatibility. Act as a 3rd/4th line escalation point for advanced bare metal and provisioning incidents. Perform root cause analysis and implement long-term fixes to improve platform reliability and repeatability. Participate in on-call rotations and incident response activities for critical infrastructure services. Cross-Functional Collaboration & Community Engagement Collaborate with network, compute, data centre, and support teams to deliver reliable physical infrastructure services. Contribute specialist input to infrastructure roadmap planning, capacity expansion, standard builds, and hardware platform qualification. Support pre-sales and solution design efforts with expert guidance on bare metal capabilities, operational models, and deployment constraints. Contribute to upstream OpenStack bare metal communities through bug reports, testing, reviews, design discussions, and code contributions where appropriate. Track upstream roadmaps and release changes to help shape Nscale's bare metal strategy, upgrade planning, and platform standards. KPIs Automated provisioning and hardware onboarding reliability Bare metal incident resolution and root cause closure Platform upgrade and lifecycle delivery across Ironic dependencies Upstream OpenStack Ironic community contribution and adoption alignment About You Strong experience operating Linux systems and troubleshooting production infrastructure Strong specialist knowledge of OpenStack Ironic and the surrounding provisioning ecosystem Strong understanding of bare metal provisioning concepts including PXE/iPXE, DHCP, TFTP/HTTP boot, BMC technologies, RAID configuration, firmware management, disk imaging, and node lifecycle states Strong experience with out-of-band management technologies such as Redfish, IPMI, or vendor management interfaces Strong experience designing and building automation for physical and virtual infrastructure using tools such as Ansible Strong scripting skills in Python and Bash Experience troubleshooting complex provisioning and hardware integration issues across server, network, and management layers Experience operating infrastructure at scale with a focus on reliability, repeatability, and operational safety Ability to collaborate across infrastructure, support, and architecture teams to solve complex technical problems Experience contributing to or working closely with upstream open-source communities, particularly OpenStack, Ironic, Metal3, or related infrastructure projects , is highly desirable What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support. Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies. Find Jobs in Germany on Arbeitnow

Education: Secondary (high) school graduation certificate. Area of specialization: Locksmith. Work conditions and physical capabilities: Attention to detail. Hand-eye co-ordination. Standing for extended periods. Personal suitability: Accurate. Client focus. Excellent oral communication. Organized. Team player. Screening questions: Do you have experience working in this field?. Experience: 2 years to less than 3 years. Employment terms options: Day.

About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Introducing the baringa.ai Fellowship - A selective cohort for exceptional postgraduate talent. ​ At Baringa, we blend technical expertise with real-world insight to make an impact. Work with experienced engineers and experts on real client challenges from day one. We seek curious, technically skilled individuals who can translate complex ideas into clear, practical solutions. We're looking for people talented individuals who have recently completed their Masters or PhD, who want to take their technical depth and apply it to interesting and cutting edge challenges. We expect that you might have spent time in research, built something outside your studies, or developed deep expertise in a particular area. What matters most is how you think, what you can do, and how quickly you can turn that into something useful.​ Join a select cohort built around exceptional technical talent, with the chance to grow together and make an impact. You'll work on challenging problems, learn from people at the top of their field and build a career at the forefront of AI. Who We're Looking For ​ We're particularly interested in postgraduate talent with backgrounds in: ​ Computer Science, Maths , Physics, Engineering, Statistics and related STEM disciplines ​ Machine learning, Artificial Intelligence, data science, software or systems engineering ​ Research, modelling or computational work ​ Strong coding ability ​ Industrial placements, fellowships or substantial technical projects ​ You don't need to have followed a traditional consulting path. We care about technical depth, curiosity, judgement and your potential to grow. ​ What You'll Get ​ Comprehensive Training​ Each fellowship undertakes our comprehensive training across our AI offerings including Deterministic and Probabilistic Machine Learning, Optimisation, Agentic AI and Enterprise AI Platform Engineering Real-world technical depth ​ Work on challenging problems in real client engagements that stretch your skills and let you see the impact of your work .​ Support and mentorship ​ Get hands- on guidance and mentorship from AI and Industry experts .​ Accelerated development ​ Build technical, consulting and commercial skills grounded in real client projects. Progression ​ Your level and progression are based on what you demonstrate, not how long you've been working.​ The Cohort ​ We recruit a small group of Fellows each round, with the next fellowship starting in January 2027. The cohort gives you a group of peers from day one and gives us a regular way to bring exceptional technical talent into Baringa. It sits between traditional Early Careers and experienced hiring: you don't need years of experience, but you do need the technical depth to contribute from the start. How To Join ​ Apply ​ - Te ll us about your background, technical interests and the work you're proud of. Technical assessment - A focused assessment designed to understand how you approach technical problems, not just what you already know. Meet the team - A n assessment day with people from our AI team to explore your technical thinking, consulting potential and fit. Join the cohort - Successful candidates join the next available intake. ​ What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the 'ideal' work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We've introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company's success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our 'Great Place to Work' – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice , to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC) , to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC) , to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore's Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at <a ---------- Find more English Speaking Jobs in United Kingdom 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 more English Speaking Jobs in United Kingdom on Arbeitnow

About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. All security disciplines work under the umbrella of the combined PSI (Platform, Security & Infrastructure) team: we build the paved path and tooling that hundreds of engineers around the world rely on every day to ship. This is not a compliance or certification role. You won't be measured on audit portfolios. You'll be measured on the guardrails you build and whether engineering teams reach for them by default. A misconfigured IAM boundary here doesn't just degrade a dashboard: it can stall a customs filing or strand a container. Flexport also runs a genuinely heterogeneous estate: hundreds of services, carrier and customs integrations, and infrastructure spanning three continents, which makes multi-account architecture and cross-border data handling real problems rather than exam questions. What You'll Do Architecture & guardrails Design and review cloud security architecture for AWS and Kubernetes: account structure, network segmentation, workload identity, and secure-by-default patterns for new services. Fix the Terraform module, not the finding — drive remediation-at-source so misconfigurations get closed at the pattern level, not one ticket at a time. Kubernetes & workload security Harden our Kubernetes platform: pod security, service mesh and network policy, secrets management, and supply-chain controls (image provenance and signing). Partner with platform engineers so new services inherit secure defaults instead of requesting them after the fact. Policy & automation Build and maintain policy-as-code and IaC scanning that block risky patterns in CI. Write real code — Go or Python, shipped through the same CI/CD the rest of engineering uses. Partnership Act as the local technical voice on cloud and infrastructure security for our Amsterdam engineering teams, and partner closely with the US-based cloud security team. You Should Have Typically 5–8 years of experience in cloud, infrastructure, or platform security engineering, including hands-on AWS and Kubernetes work — we care more about what you've built than the exact number. If you meet most of this, apply. Proficiency in at least one compiled language (Go or similar) and one scripting language (Python or similar). Experience with infrastructure-as-code (Terraform or similar) and a GitOps delivery model — changes shipped through code review, not tickets and manual steps. Working knowledge of IAM and least-privilege design across cloud and container environments. Nice to Have Experience with cloud security posture tooling (Wiz, Orca, Prisma, or similar) as a signal source rather than an end in itself. Software supply-chain security experience (SLSA, artifact signing, provenance). Familiarity with EU data-residency and cross-border data-handling considerations. Multi-cloud experience. How We Work In Amsterdam we come to the office 3 times a week to hang out, whiteboard, and ship together. We stay closely aligned with our coworkers on other continents. We have the latest hardware and software, including frontier AI models on day one. We're agile, but not dogmatic. Teams decide how they work best. Why This Role Is Special You'll inherit a real, established estate with legacy to pave over — not a blank slate. If you want the harder, more honest version of greenfield work, this is it. This is a builder's cloud security role in a market where the comparable senior openings skew toward certification and audit work. You won't be asked to own a PCI portfolio here. You're part of PSI: security is treated as infrastructure with real engineering quality bars, not a policy function. We sponsor visas for the right candidate. What's in it for you An opportunity to contribute to one of the fastest-growing companies, where you'll have the chance to create a global impact while being part of a thriving multinational environment. Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on a daily basis. Commute expenses: Flexport will cover home-office commuting costs for employees living outside of Amsterdam. 25 working days as vacation days based on full-time employment. Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport. A defined pension contribution scheme. Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success. Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members. Parental leave benefit: Flexport is here to support you and your family during one of the most important times in life — the birth of a child. Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child. #LI-onsite #LI-YK1 Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information. Find more English Speaking Jobs in Netherlands on Arbeitnow

About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We're on the cusp of the on-demand materials era. Join us. The Role Due to rapid growth in our partner lab network, we are seeking a Scientific Product Manager to join our Product team and bring partner labs and their experimental workflows onto the CuspAI platform. Your impact This is an exciting opportunity to join the product team at CuspAI, working closely with materials scientists, ML researchers and platform engineers to make AI-driven experimentation work in real laboratories. As one of a small team of Scientific Product Managers, you will take ownership of a set of partner labs and the lab integration work around them, translating what each lab actually needs into requirements our engineers and ML researchers can build against. Alongside the product work, you will spend real time with your partners' teams and their experimental data. What You Will Do Product Requirements & Roadmap Shape and prioritise the roadmap for how experimental data, protocols and campaigns get into the CuspAI platform, together with your fellow Scientific Product Managers, the engineering lead and the wider product team. Write requirements, specifications and acceptance criteria that engineers can build from, covering experiment types, instrument integrations and LIMS/ELN connections, and work with the data team on the underlying data models and provenance. Contribute to decisions on what we build, what we integrate, and what we leave to partners' existing systems. Partner Lab Onboarding Lead technical discovery with the partner labs you take on: map their workflows, instruments, sample logic and data systems, and pin down the true experimental unit and the parameters that matter. Own onboarding for your partner labs from scoping to the first closed-loop campaign, and turn each onboarding into reusable patterns and documentation shared across the team so the next one is faster. Act as the main scientific counterpart for the partner labs you look after, and represent the product in partner meetings, workshops and conferences. Closed-Loop Campaigns Work with ML researchers to design optimisation campaigns (e.g. Bayesian optimisation) that respect real experimental constraints such as throughput, noise and failed samples. Define how platform-driven campaigns are validated, including benchmarks against manual or legacy workflows, success metrics and the evidence we bring to partners. Must Have Skills and Qualifications: PhD in Materials Science, Chemistry, Physics, Chemical Engineering or a related experimental discipline, or equivalent experience in scientific research. Hands-on experience with high-throughput or automated experimentation (e.g. robotic synthesis, combinatorial libraries, automated characterisation, or self-driving / closed-loop labs) in industry, a national lab or research institute, or academia. Proven track record of translating scientific or process needs into requirements for engineers, software teams or automation vendors, and of validating that what was built works in the lab. Firsthand understanding of how experimental data is produced and where it fails: which metadata and provenance matter, instrument quirks, data quality issues, and what makes a dataset usable for machine learning. Depth in at least one materials domain (e.g. semiconductors and thin films including photovoltaics, catalysis and electrochemistry, energy materials including batteries, polymers and formulations, or separations and surfaces) and the curiosity to work across others. Working knowledge of Python for data handling and analysis; comfortable working with APIs and data schemas. Strong communicator and a proven collaborator, comfortable working directly with external partner labs as well as multidisciplinary science, ML, product and engineering teams. Bonus Points (But Not Critical): Direct experience with closed-loop optimisation in an automated setting, such as Bayesian optimisation, active learning or design of experiments. Experience with research data management, LIMS/ELN systems, FAIR data or metadata schemas, and familiarity with lab data standards (e.g. SiLA 2, AnIML, Allotrope). Instrument integration experience, including vendor software, data formats, and scheduling or orchestration. Product or project management experience, such as roadmaps, user research, external research collaborations or vendor relationships. We are equally open to strong experimental scientists making their first move into product. Experience working in industry at a materials, chemicals, energy or deep-tech company, or closely with industry at a research institution or national lab. Experience coordinating work across multiple labs, sites or countries. Additional Considerations This role could be based in any of our locations with the expectation of being in the office three days per week. Additionally, there may be regular travel required to partner labs and other locations for collaboration and project work. 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 Netherlands on Arbeitnow

Your Impact We are looking for a Staff DataOps Engineer to join the Data and AI Platform team. Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll build Your responsibilities include but are not limited to: Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization What you'll bring Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery You are highly skilled in programming with Python, and have a solid understanding of software development principles You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences It would be fantastic if you: Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription Parent Care Program: receive one additional month of leave on top of the legal parental leave For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview Case Study System Design Interview Behavioral interview with Hiring Manager At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt Full-time Paris Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow

We are looking for a Senior Data Platform Engineer to join the Data Platform at Smartly! Smartly is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Smartly already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across Smartly's operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how Smartly models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What we are looking for Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Useful experience, but not required DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. What we offer you At Smartly, we offer a place where you can do meaningful technical work while growing with a global team. Inclusive global culture built on trust, transparency, open feedback, and respect for different perspectives. Global impact through technology used by major brands to plan, create, optimize, and understand digital advertising at scale. Wellbeing support, paid holidays, family leave, and sustainable ways of working. Equity options, performance-based rewards, competitive compensation, and career development opportunities. A flexible hybrid workplace that balances office collaboration with focused remote work. At Smartly we work 3 days a week from the office. About Smartly Smartly is an advertising technology company helping brands create, manage, optimize, and understand digital advertising across major media platforms. Our engineering organization builds the systems that connect media, creative, and intelligence capabilities into a product used by customers globally. We value clear communication, ownership, curiosity, and collaboration across teams. We want Smartly to be a place where people can do strong work, grow, and feel respected. Not sure you tick every box? Please apply anyway. We care about strong engineering fundamentals, ownership, curiosity, and the ability to build reliable systems with others. Direct experience with every technology listed here is less important than the judgment to learn, reason from first principles, and ship useful platform capabilities. About Smartly Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice . Find Jobs in Germany on Arbeitnow

Location: Remote within Europe, with regular presence in Bremen Direct Reports: None Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control. Responsibilities Pillar 1 Deployment and Delivery Own build, CI/CD and release for the platform across cloud and on-premise targets. Build and maintain installers and update paths that work in restricted and offline environments. Manage database migration and rollback paths for customer installations. Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site. Pillar 2 Infrastructure Run the Kubernetes and GitOps side of the platform. Own secrets management, access control and infrastructure-as-code. Implement monitoring and log aggregation across internal and customer environments. Integrate with Constructor's platform, identity and deployment tooling. Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code. Pillar 3 Security and Governance Introduce static analysis and dependency and licence scanning into the pipeline. Own backup, recovery and continuity for the platform. Support audit and compliance requirements from funded research and customer contracts. Accountability: no single undocumented dependency on one person, including yourself. Requirements Experience Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale. Real experience of on-premise and offline deployment, not only cloud. CI/CD pipeline ownership end to end Skills & Competencies Autonomous and proactive. You have carried infrastructure alone. Willing to hand knowledge over rather than hold it. Interested in the product and the science, not only the pipeline. Clear communicator in English. Education & Languages Degree in computer science or engineering, or equivalent practical track record. Fluent English. What This Role Is (and Is Not) This role IS Full ownership of infrastructure for a technically unusual product. A role where you finally get a team around you. Exposure to a broad modern stack. This role is NOT A pure cloud or pure on-premise role. A ticket-driven operations role. A role without contact with the product. Find Jobs in Germany on Arbeitnow

About the Position: We are looking for an experienced, motivated mid-level professional for a dual role: classic IT DevOps responsibilities combined with the evaluation and support of AI/ML models and vendors. This position is a great fit for someone who wants to combine technical infrastructure expertise with an interest in current AI/ML developments. The role sits in internal IT and is not part of robotics product development. The two areas are not equally plannable: production operations take precedence, and AI/ML evaluation runs as project work around operational load. Responsibilities : CI/CD, Automation & Software Development: Build, maintain, and improve CI/CD pipelines using GitLab CI and Jenkins; automate recurring operational processes; collaborate with development teams on deployment processes; develop small-scale internal software for IT and other internal departments; support software integrations, particularly Entra ID, Active Directory, and SSO. Cloud, Infrastructure & Operations: Manage and optimize AWS, Azure, and GCP infrastructure; use Infrastructure as Code (Terraform, Ansible), Docker and Kubernetes on select projects (not a global standard); operate the largely Linux-based landscape (approx. 80–85% Ubuntu), including patch/update management; ensure availability, scalability, security, monitoring, logging and alerting (Prometheus, Grafana, ELK); manage backup/disaster recovery and cloud cost optimization. Production Support & AI/ML Evaluation: Manage incidents and troubleshoot production environments (no on-call rota currently planned; if introduced, it will be agreed and compensated separately); evaluate AI/ML models and vendors (e.g. OpenAI, Anthropic, Google, Microsoft Azure AI) for performance, cost, suitability, cost-benefit, and licensing; evaluate open-weight/self-hosted models (e.g. vLLM, Ollama) where data residency, data protection, or cost requirements make external APIs unsuitable. AI/ML Testing, Integration & Support: Define objective AI/ML test criteria and benchmarks with the team lead; build and maintain evaluation datasets and re-run them after new model versions to detect regressions; support integration into existing systems/workflows, including RAG and agent tooling; act as first point of contact for technical AI/ML issues, providing first-level support and escalating to the team lead. AI Governance, Compliance & Enablement: Document model best practices, limitations, and use cases; track market developments; collaborate with business departments to identify new use cases; support compliance on data protection, security, and AI regulations, particularly the EU AI Act and GDPR (internal deployer-side use, not product conformity); train and enable internal staff on AI/ML tools, contributing to AI literacy under Art. 4 of the EU AI Act and internal AI governance/use guidelines Your Profile: Completed degree in Computer Science, IT, or comparable professional experience 2 to 4 years of experience in a DevOps environment Hands-on experience with CI/CD tooling; both GitLab CI and Jenkins are in use Experience with at least one major public cloud (AWS, Azure, or GCP); all three are in use Solid experience operating Linux systems (Ubuntu), as the large majority of systems run on it Experience with containerization (Docker); Kubernetes knowledge is a plus, as it is used on a per-project basis Solid working knowledge of the core DevOps toolchain: Infrastructure as Code (Terraform, Ansible), scripting (Python, Bash), and monitoring, logging, and alerting (e.g. Prometheus, Grafana, ELK Stack) Basic knowledge or hands-on experience working with AI/ML models or APIs (e.g., LLM providers) An analytical mindset for objectively evaluating tools and vendors Strong communication skills for collaborating with technical and non-technical teams Fluent in English, spoken and written What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find more English Speaking Jobs in Germany on Arbeitnow

Parkland Manufacturing Ltd. Is a leading Custom Steel, Structural Steel, O.E.M. and Miscellaneous Steel Fabricator in Saskatchewan. We are currently looking for an Structural Steel Industrial Painter. Responsibilities: * Operate machines or use brushes and spray equipment to apply paint products * Select appropriate paint or mix paints * Ensure that all components are painted to a consistent high quality * Identify and report defective products * Prepare and clean surfaces using methods such as scraping, sanding, etc. * Operate equipment to clean, wash, strip, sand, remove corrosion and to prepare product for painting * Manage the cleaning and maintenance of painting equipment, ventilation, compressed air equipment and personal protective equipment * Perform preventative maintenance of painting equipment * Other duties as assigned. Experience Expectations: * Ability to read and understand shop drawings * Ability to paint with airless paint guns and conventional pot guns * Understand and carry out written and verbal instructions * Have knowledge of proper maintenance of equipment under this classification * Extensive knowledge of most painting projects and operations * Must be capable of working well with minimal supervision * Must be familiar with all shop tools related to the job * Commitment to workplace safety and safe lifting and handling procedures. * Flexibility to adjust to shifting priorities and deadlines.

Education: College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 years. or equivalent experience. Work site environment: At heights. Outdoors. Tasks: Install built-up roofing systems using materials such as asphalt saturated felts and hot asphalt and gravel. Install or replace asphalt shingles, wood shingles and shakes and masonry or baked clay roofing tiles on sloped roofs of buildings. Install roofing tiles on sloped roofs of buildings. Read blueprints, drawings and specifications to determine work requirements . Install and repair metal roofs using hand and power tools. Estimate costs and materials. Erect and install scaffolding, falsework and other working platforms. Work conditions and physical capabilities: Fast-paced environment. Bending, crouching, kneeling. Hand-eye co-ordination. Handling heavy loads. Repetitive tasks. Work under pressure. Personal suitability: Client focus. Reliability. Team player. Screening questions: Do you have experience working in this field?. Employment terms options: Early morning. Experience: 2 years to less than 3 years. Employment terms options: Morning. On call. Day.