Find Your Dream Career

Our Mission: Omnea is the agentic operating system for procurement. Procurement touches every pound a business spends, yet requests still stall for weeks and approvals get lost in inboxes. Our AI-first platform changes that: our agents capture requests, route approvals, onboard suppliers, flag risk and track every renewal, while anyone in the business can ask a question and get an answer grounded in their own company's data. Buying becomes painless for everyone, procurement gets a seat at the table, and our customers have saved more than 100,000 hours of manual work so far. Companies like Spotify, PayPal, T. Rowe Price, JustEat, Adyen and S&P Global run procurement on Omnea. We're backed by $75M from Khosla Ventures, Insight Partners and Accel, and we've been named the UK's number one startup in the Startups 100, ranked 11th on Sifted's 2026 list of Europe's fastest-growing companies, and recognised as one of Fast Company's Most Innovative Companies. Talent density matters more to us than almost anything else. We keep the bar high in every team, so everyone here has real ownership and real impact. Our team is full of former founders and operators who've scaled unicorns, and we're looking for people who want to do the best work of their careers alongside them. Find out more about the team and life at Omnea here . What We're Looking For We're looking for highly technical engineers who want to lead and manage one of our engineering teams. It took over 10,000 interviews to hire our first 50 Omneans, and we're now growing from 11 to more than 14 engineering teams in the coming months. Over the next year, our engineering team will double in size, our enterprise customer base will grow from ~180 to 300+, and revenue will triple. As a Team Lead Manager, you'll lead a small team of engineers. You'll set its technical direction, line-manage and grow the people in it, and stay hands-on in the code. This is not a hands-off management role: our teams are small, and you'll be one of the strongest engineers on yours. You'll partner closely with a Product Manager and Product Designer to decide what to build, and you'll be accountable for how well it's built and how fast it ships. If you're a strong Tech Lead who hasn't managed people yet, we'd still love to hear from you. You can start as a Team Lead, with management handled by an Engineering Manager, and grow into the full role with our support. What Can You Expect As a Team Lead Manager? Lead and Manage a Small Team. Line-manage the engineers on your team, run 1:1s, give feedback, and help them take on bigger problems. Stay Deeply Technical. You'll still build. Expect to spend a meaningful share of your time writing code, reviewing PRs, and unblocking the hardest technical problems. AI-Native Development. AI is core to how we build. Engineers use Claude, Code, and agentic workflows every day, and our product is built on AI agents that automate complex procurement workflows. You'll set the bar for how your team uses them. Customers at the Center. Talk directly with customers to understand their problems, and make sure your team builds things that create real value for them. Own Technical Direction. Make the architecture and design calls for your team's problem space, and own the trade-offs between speed, quality, and long-term maintainability. Work with Modern Technology. TypeScript across the stack, React, Postgres, and AWS serverless (Lambda, DynamoDB, EventBridge), managed through Pulumi and deployed via GitHub Actions. Datadog, Meticulous, and Incident.io round it out. Shape the Roadmap. Work with your PM and Designer on prioritisation, scoping, and sequencing so the team ships what matters most. Build the Team. Interview, hire, and onboard new engineers as we double in size. About You You're a highly technical full-stack engineer. You've designed and shipped web apps end to end in TypeScript, ideally on AWS serverless, and you're still one of the strongest engineers in the room. You've led engineers. You've been a Tech Lead, Team Lead, or TLM, owning delivery and technical direction for a team. You want to manage people, or grow into it. Ideally, you've line-managed engineers already. If not, you're keen to learn. You still love to build. Leading hasn't pulled you away from the code, and you want a role where you keep shipping. You raise the bar. You know what well-architected, reliable software looks like, and you help others get there through reviews, pairing, and clear feedback. You're motivated by customer impact. You care about outcomes for customers, not just output, and you make good calls on what to build and what to cut. You're a strong partner. You work well with product and design, push back when it matters, and bring people with you. You're comfortable with ambiguity. You can take an unclear problem, shape it, and get a team moving on it. Nice-to-Haves You've led a team through fast growth, ideally at a scale-up where the team and product changed quickly. You've built B2B or enterprise SaaS, with complex workflows and demanding customers. You've performed exceptionally at something else, be it academics, sport, or work. Interview Process Before applying, we strongly encourage you to spend a few minutes in our R&D Candidate Hub. It covers our engineering culture, ways of working, interview process, tech environment, and what it's like to build at Omnea. R&D Candidate Hub : https://omnea.notion.site/R-D-Candidate-Hub-2f688cce658780f1b942c81cd3a032d4 Note: our pair programming stage is in TypeScript OR Python and you'll be assessed as if it's your primary language. This is a full-stack, hands-on leadership role, so if you're exclusively frontend, backend, or platform-focused, or no longer writing code, it likely isn't the right fit. The process generally includes: Initial screening call with our Talent team (30 mins, remote) AI Product Eng Challenge , language-agnostic (1 hour, remote) Onsite interviews at our Victoria office (~3 hours) Engineering Culture interview with an Engineering Manager or Team Lead (45 mins) System Design interview with a Senior Engineer (60 mins) Engineering Leadership interview with our CTO (45 mins) Office tour (15 mins) We're proud to support visa sponsorship for candidates who need it. At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here . We work Tuesdays, Wednesdays & Thursdays in-person at our offices. At this early stage of our company life-cycle it's important to us that we get this together-time, and you can read more about why we believe this is a winning move here We're commercial, ambitious and we don't pretend otherwise! We're actively seeking folks looking to make the most of a career-defining opportunity, with the hunger to be part of building something really impressive . You can see our values here and our Omnea Future Founder's fund here ! We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background). We are proud to be recognised for both our culture and product, and we are just getting started. Join us as we grow! Legal note: if you are viewing this posting outside of the Omnea careers' page, this may be an auto-generated advertisement and may lack the full range of advertised information - please click through to the posting at https://jobs.ashbyhq.com/omnea to view additional advertised information on this posting. Additionally, where roles have hard-specified requirements (e.g. [x] days in office, unable to provide visas, etc), if in your application you provide deterministic check-box confirmation that you do not meet the hard-specified requirements, deterministic (not AI or subjective) automatic rejection criteria are in place. Compensation: £110K – £180K • Offers Equity TL - Product Engineer • TL - Product Engineer £110K – £180K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

WHO WE ARE Proxima Fusion is Europe's fastest-growing fusion company and the continent's best-funded fusion player, as well as the first spin-out from the Max Planck Institute for Plasma Physics (IPP). Backed by over €650M and powered by a growing team across Munich, Zurich, and Oxford, we are developing the hardware and infrastructure needed to deliver the world's first commercial stellarator fusion power plant. Our concept advances the most mature fusion technology out there, the Wendelstein 7-X stellarator, through two next-generation machines: Alpha and Stellaris. Our work combines stellarator optimization, advanced computation, machine learning, and high-temperature superconducting magnets to unlock higher-performance designs that were previously out of reach. Turning these designs into a functioning fusion power plant requires excellence and ownership across every discipline, from physics and engineering to software, manufacturing, law, and business functions. WHY JOIN US Work on a civilisation-scale problem - Clean, baseload fusion energy is one of the few genuinely world-changing challenges, and every hire directly accelerates the path to a working stellarator. Grow as fast as the company does - With headcount set to roughly 5x in a few years and major technical milestones ahead on the path to our demo machine and first power plant, your role grows under you; today's hire is tomorrow's function lead. Tackle problems that don't exist elsewhere - Fusion sits at a rare intersection of deep-tech R&D, industrial procurement, government relations, and venture financing, so non-tech functions face challenges no other workplace can offer. YOUR IMPACT As our Senior Security Engineer in Munich, you will own security implementation and security monitoring, digital and physical, for a company building one of the most valuable bodies of fusion IP in Europe. Protecting it is its own challenge, and you are the person who will own it. WHAT YOU WILL DO • Build out our security monitoring capability: select and run the SIEM, decide what's worth alerting on, and tune out the noise. • Own incident response end-to-end, from investigation through to a post-mortem and a fix that holds. • Harden the environment hands-on across endpoint and EDR, identity and access, network, and infrastructure. • Finish maturing Zero Trust: identity and device posture as joint conditions for access, and MFA everywhere. • Handle the long tail of edge cases that comes with a fast-growing team and a lot of contractors. • Secure our Google-centric workplace, where most of our IP moves — DLP, data classification and labeling, retention, and context-aware access. • Secure the software supply chain in collaboration with our platform team: source control, access boundaries, secrets, and CI/CD. • Run vulnerability and attack surface management, and drive remediation to be done with the teams that own the systems. • Set and monitor our physical security standard with Business Operations, who implement it on site: access zones, CCTV and alerting, visitor and contractor access, and site access as one joiner-mover-leaver process with digital access, across multiple locations. • Give our compliance work the technical substance it needs: evidence, remediation, and support through audits and pen tests. WHO YOU ARE Must have • You have 5+ years hands-on in security engineering, with real depth in identity, endpoint, and infrastructure. • You have built or substantially operated a SIEM, and run real incidents end-to-end. • You have implemented Zero Trust in production - unified IdP and MDM, conditional access, device posture. • You know Google Workspace Enterprise security well, or can get there fast from an equivalent platform. • You are automation-first: Terraform, and scripting in Python, Bash, or PowerShell are no strangers to you. • You are fluent in CIS Benchmarks, NIST, ISO 27001, and NIS2 without being ruled by them. • You can turn a technical finding into a business impact and actionable solutions Nice to have • Interest or a track record in AI security. • Hands-on cloud and container security: GCP, containers, Kubernetes. • Certifications such as CISSP, GCIA, GCIH, CCSP, or Google Cloud Professional Cloud Security Engineer. • Experience in a regulated, export-controlled, or high-security environment, where physical and digital security meet. INTERVIEW PROCESS Recruiter Interview (30-60 min) Technical Screening (30 min) Technical Panel (3x60 min) CEO call (30 min) This role sits at L2/L3 of our framework, please inquire during the recruitment process for further information At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don't look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table. Find Jobs in Germany on Arbeitnow

Position: Room Attendant Department: Housekeeping Job Summary: The Room Attendant is responsible for the timely and efficient turndown of hotel rooms, ensuring they meet Hard Rock?s high standards of cleanliness and presentation. This role plays a key part in delivering a legendary guest experience by supporting the Housekeeping team in maintaining the property?s operational excellence. The Room Attendant will turndown rooms with a keen attention to detail, restock rooms and carts, and ensure that guests have a comfortable and clean environment when they stay at Hard Rock Hotel London Ontario. Hours of Work: This is a full-time hourly position. Scheduling will include weekends and holidays, based on business needs and hotel occupancy. Room Attendant ? Job Description Essential Duties & Responsibilities: Room Turndown Replenish room amenities including but not limited to towels, toilet paper, fridges, sheets, snacks and coffee. Ensure that the rooms are clean and replaced with fresh linens daily. Maintain clean rooms through dusting, vacuuming, and mopping floors and fixtures. Handle guest requests promptly and courteously. Empty trash and recycling bins and dispose of waste properly. Health and Safety Follow health and safety regulations, including infection control procedures. Keeps rooms and hallway areas clean, organized, and in compliance with health and safety standards. Reports equipment malfunctions or safety concerns immediately. Follows all safety and sanitation procedures including proper use of PPE and chemical handling. Report any health and safety concerns to your director as required. Inventory: Assists with inventory counts and reports any shortages or overstock to the Executive Housekeeper. Ensure cleaning carts are fully stocked and maintain accurate records of cart stock. Teamwork & Support: Works cooperatively with Laundry and uniformed services to ensure timely linen delivery and pickup. Assists with special cleaning projects or guest laundry services as needed. Maintains a professional appearance and adheres to uniform standards. Qualifications Education & Experience: High school diploma or equivalent preferred. Prior housekeeping or cleaning experience is an asset, but not required. Skills: Strong attention to detail and organizational skills. Ability to work independently and in a team. Ability to operate commercial laundry equipment. Time management and task prioritization. Comfortable in a fast-paced, guest-focused environment. Certifications & Requirements: No specific certifications required. Must be able to work weekends, holidays, and varied shifts. Physical Requirement: Must be able to lift up to 30 pounds regularly and push/pull laundry carts weighing up to 200 pounds. Frequent bending, stretching, standing for prolonged periods, and repetitive arm/hand movements. Must be able to work with common cleaning chemicals Must be able to visually inspect areas and communicate effectively. Ability to tolerate heat and humidity from industrial laundry equipment. Job Types: Full-time, Part-time, Permanent Pay: $19.00 per hour Benefits: Dental care Discounted or free food Extended health care On-site parking Store discount Application question(s): * Are you interested in Full time or Part time work? Work Location: In person

ABOUT QUINCE Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world's finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast. What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver. OUR CULTURE Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren't interested in replicating how others do retail. We're building a better way – at a speed and scale unlike anything that's been done before. We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place. Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory. If you're someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you. THE IDEAL CANDIDATE The ideal candidate is a self-starter and problem-solver, skilled at leveraging technology and data to deliver top-tier analytics solutions. They thrive on addressing complex business challenges and are consistently effective in making high-judgment decisions at a rapid pace, even in the face of ambiguity and uncharted scenarios. Additionally, the ideal candidate is energized by a work environment where strategy, innovation, and decision-making are intentionally distributed, where transparency, agility, and data-driven insights are highly valued, and where colleagues at all levels hold each other to exceptionally high standards to serve Quince customers. RESPONSIBILITIES: Partner with the US team to understand what exists that we need to replicate and the gaps that we need to build upon Develop and maintain automated reports to track Marketing KPIs: New/Returning Customers, LTV/CAC, Total vs. inc. ROAS Performance Marketing Channel: Paid Social, SEM, App, Affiliates etc. CRM: Customer cohort, Database health + Lifecycle stages Conduct ad-hoc analyses to identify channel inefficiencies, scaling opportunities, areas for improving MER / Total ROAS. Partner with Product, Engineering and Performance team to deliver experimentation and incrementality studies: Geo-Lift tests, Channel Incrementality, Brand lift, MMM validation. Partner with product, engineering and CRM to deliver: A data driven customer lifecycle programme including key drivers of high-value customers A/B and multivariate tests across lifecycle touchpoints that optimize revenue per visit, and Incremental LTV / Revenue A multi-category approach to cross selling, identifying triggers and next best actions based on customer behaviour Implement data quality, governance (inc. GDPR) and AI usage best practices in collaboration with the US. Be an integral part of the international team and contribute to their growth. REQUIREMENTS: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar). Master's degree is a plus. 7+ years in a data analytics/product analytics role, ideally with a focus on supply chain within an e-commerce or technology company. Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BIm Mixpanel). Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus. Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity. Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectively to both technical and non-technical audiences. Demonstrated ability to manage multiple projects and prioritize in a fast-paced, dynamic environment. Based in Berlin / London with the ability to come into the Berlin / London office 4 days per week Preferred Qualifications: Experience in running Geo-lift tests across Europe Previous e-commerce / multi-category experience Strong Performance marketing (attribution) + CRM measurement background Able to translate data analysis into action through storytelling and visualization Understanding of core marketing metrics and how they interact to deliver profitable growth: LTV/CAC, ROAS, MER WHY QUINCE? Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike. EQUAL OPPORTUNITY & HIRING INTEGRITY Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form . We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis. Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws. Security Advisory: Beware of Frauds At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About WPP Media WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . Role Purpose The Platform Operations Director is responsible for ensuring that solutions developed and released for the Solutions team are operationally ready, properly tested, clearly documented, effectively released, and provide support once live. The role acts as the bridge between delivery, business readiness and BAU operations. It supports the transition of work from project delivery into stable operational use, ensuring that users, stakeholders and support teams understand what has changed, how to use it, how to raise issues, and how ongoing support will be managed with appropriate priority, impact and SLAs This role is particularly important as Solutions Integration moves from a more reactive service model into a structured product and agile delivery function. The Platform Operations Director owns QA, release management, documentation, stakeholder communication, support processes, training, adoption and post-release improvement including BAU bugs and triage. The role works closely with Product Owners, Scrum Master, Engineering, Data, Reporting, QA, Platform Operations, and business stakeholders to make sure delivery does not stop at "built", but continues through testing, launch, adoption, support and measurable operational value. Senior / Specialist-Level Expectations As a Director within the team, this role is expected to help define and improve the operating standards around BAU management, QA coordination, release readiness, business readiness and service transition. Manage and proactively manage risk, resolution SLAs and ensure we are adhering to platform operational best practices. The Platform Operations Director should be able to identify operational risks early, challenge whether a solution is genuinely ready for release, and recommend practical improvements to processes, documentation, testing, support models and stakeholder communications. For smaller initiatives, the role should be able to advise Product Owners and delivery teams on the appropriate level of QA, training, release planning, handover and BAU support required. For larger or more complex initiatives, the role should escalate risks, dependencies or readiness gaps to the Product Manager Lead, Scrum Master, Lead Engineer / Solutions Architect or relevant leadership stakeholders. Key Responsibilities 1. BAU Operations Management Own and coordinate BAU operational processes for assigned platforms, tools, reports, workflows and solutions across all Media solutions. Monitor recurring issues, support trends, operational risks and user pain points. Triage and prioritise BAU requests, incidents, defects and enhancement requests. Ensure BAU work is captured through the agreed intake and backlog process rather than unmanaged emails, verbal requests or fragmented ticket routes. Work with Product Owners and the Scrum Master to distinguish between BAU support, defects, enhancements and new product requirements. Maintain visibility of BAU demand and help identify where recurring issues should become product improvements or engineering fixes. Support continuous improvement of support processes, documentation and operational workflows. This links directly to the team's wider shift away from fragmented request routes and towards clearer delivery rhythms, structured backlogs and improved operational process discipline. The existing documentation notes the need for clearer team rhythms, sprint cadences, retrospectives and mentoring as part of the transition plan . 2. QA Coordination and Testing Readiness Coordinate QA activity across delivery workstreams, ensuring testing requirements are understood before development begins. Work with Product Owners to ensure acceptance criteria, test scenarios and success measures are clearly defined. Support test planning across functional testing, regression testing, data validation, reporting checks and user acceptance testing. Ensure defects are logged, prioritised, tracked and resolved through the agreed delivery process. Work with engineers, analysts and business users to validate that solutions meet functional, operational and reporting requirements. Support the creation of reusable QA checklists, test scripts and validation templates. Ensure solutions are not released without appropriate testing evidence and business sign-off. This is consistent with the Product Owner responsibilities already defined around testing requirements, success criteria, UAT coordination, business validation, release readiness and operational handover . The Platform Operations Specialist would support and operationalise those activities. 3. Business Readiness and Adoption Ensure business users and operational teams are ready to adopt new or changed solutions. Coordinate training, guidance, demos, FAQs, release notes and user communications. Work with Product Owners to identify impacted teams, users, processes and workflows. Confirm that business teams understand what is changing, why it is changing, when it is happening and what action is required. Support stakeholder communications before, during and after release. Gather early feedback from users and ensure issues are captured and prioritised appropriately. Help ensure delivered solutions are embedded into day-to-day operations, rather than remaining underused or misunderstood. The handover documentation highlights the importance of clear communication with users, proper release notes, demonstrations and adoption support for new features and solutions . This role should own the operational discipline around making that happen consistently. 4. Release Readiness and Service Transition Own or coordinate release readiness checklists for assigned solutions. Ensure each release has appropriate testing evidence, documentation, support ownership, training material and stakeholder communication. Coordinate operational handover from delivery teams into BAU support. Confirm that runbooks, troubleshooting guides, known issues and escalation routes are in place. Work with engineering and data teams to ensure monitoring, alerting or manual checks are defined where required. Support go-live planning, release scheduling and post-release hypercare. Track post-release issues and ensure learnings are fed back into future delivery cycles. This role should become the person asking: "Are we actually ready to put this live, support it, explain it, and measure whether it worked?" 5. Documentation and Knowledge Management Maintain clear operational documentation for platforms, reports, tools, processes and workflows. Support the creation of user guides, SOPs, runbooks, release notes, FAQs and support documentation. Ensure documentation is stored in the agreed location and kept up to date. Work with Product Owners, engineers and analysts to document key dependencies, business rules, known limitations and support processes. Help reduce reliance on individual knowledge by making processes and system behaviour transparent. Support onboarding of new team members by maintaining accessible knowledge resources. This is important because the team is moving away from legacy ways of working and informal knowledge transfer into a more structured operating model. 6. Platform and Process Governance Support the consistent use of agreed tools, workflows, ticketing processes and delivery governance. Help ensure work is captured, categorised and progressed through the correct routes. Maintain standards for BAU tickets, defects, release requests, support issues and operational change. Identify process gaps, duplicated effort or inconsistent ways of working. Recommend improvements to BAU processes, support models, QA standards and release governance. Support reporting on operational performance, support demand, defect trends and release readiness. Help ensure changes are controlled, documented and aligned to agreed team practices. This aligns with the documented need to improve proactive behaviour, structured product management, backlog grooming, stand-ups and retrospectives across the team . 7. Stakeholder and Cross-Team Coordination Work closely with Product Owners, Engineering, Data, Reporting, QA, Scrum Master and business users. Coordinate with Activation, Operations, Channel Development, Commercial and other impacted teams where relevant. Ensure operational dependencies are understood and managed before release. Help stakeholders understand support routes, known issues, timelines and release impacts. Escalate operational risks, unresolved defects, readiness gaps or business adoption concerns. Support regular BAU and platform operations updates for leadership where required. The existing Product Owner documentation already describes the importance of coordination across engineering, data, reporting, platform, operations and business teams . The Platform Operations Specialist should provide the operational control layer that supports this. Skills and Experience Essential Experience in platform operations, service transition, QA coordination, business readiness, delivery operations or technical operations. Strong understanding of BAU support processes, release management and operational handover. Experience coordinating UAT, defect tracking, test planning or business validation activity. Ability to create clear documentation, user guides, process notes, release communications and operational runbooks. Strong stakeholder management skills, with the ability to work across technical and non-technical teams. Good understanding of agile or product-led delivery environments. Ability to identify operational risks, readiness gaps, support issues and process improvements. Strong organisational skills and attention to detail. Confident using Jira, Confluence, ServiceNow, Azure DevOps or similar delivery/support tooling. Ability to communicate clearly with users, delivery teams and senior stakeholders. Desirable Experience working in media, advertising, ad tech, martech, reporting, data or platform environments. Experience supporting reporting platforms, dashboards, data products or operational workflow tools. Understanding of data validation, reporting QA or campaign performance data. Familiarity with cloud-based platforms such as GCP, AWS, BigQuery or Snowflake. Experience working with engineering, data engineering or analytics teams. Experience supporting transformation from reactive support models into structured product or agile delivery models. Familiarity with WPP, WPP Media, Choreograph or similar enterprise platform environments would be beneficial. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide. Find Jobs in United Kingdom on Arbeitnow

Transforming factory scans into digital reality At RIIICO, we're reimagining how factories adapt to change. Our AI-powered software makes complex production environments editable, interactive, and collaborative, turning manufacturing planning into something anyone can engage with, not just the experts. We're looking for a 3D Data Operator to help power the foundation of our digital factory experiences. No point cloud experience needed, just an eye for detail and curiosity about 3D. In this role, you'll work at the intersection of 3D reality and AI, transforming raw point cloud data into accurate digital twins of real-world production environments. From data preparation to model generation and delivery, you'll help ensure quality, consistency, and continuous improvement across our data pipeline. Your daily work Process 3D scan data (point clouds) and transform it into usable digital factory models using our internal tools and workflows. Run basic pipeline commands for data preparation and AI processing. Configure and verify model outputs to ensure quality, consistency, and usability for downstream applications (e.g., Nvidia Omniverse, Siemens Plant Simulation and others). Collaborate with AI-assisted tools to validate and correct automated results. Flag and troubleshoot anomalies or edge cases in raw or processed data, and document issues clearly (e.g., as Git issues). Track and report your weekly processing output. Continuously improve workflows and documentation based on team feedback and real-world challenges. What we are looking for Strong attention to detail and ability to reliably handle repetitive tasks with care. Self-motivated and dependable: you take responsibility and get things done. Comfortable following defined workflows and standards, and asking for help when something is unclear. Team player with a proactive mindset: you enjoy working in a collaborative team. Fast learner: no prior experience with point clouds required; you're comfortable picking up new tools and workflows quickly. Basic digital literacy: you're confident navigating structured software tools, browser-based interfaces and Microsoft Office. Bonus: Familiarity with 3D environments (e.g., through gaming, CAD, or similar), or a general spatial intuition. English is a must; proficiency in German is a plus for clear communication with the team. Please note: A valid work permit or residence permit for Germany is required for this position. This is a 12-month fixed-term position, with the opportunity to extend or move to a permanent contract based on performance and business development. Benefits Additional vacation days Flexible working hours Hybrid office culture Public transport subsidy Why You Should Join Build something that makes a tangible difference in the world's most important sector: manufacturing. Help shape a product that is being built from first principles. Collaborate with a sharp, hands-on team that values speed, clarity, and ownership. Backed by top international investors and preparing to scale. Find Jobs in Germany on Arbeitnow

If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, join The City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life. The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request. As the Vehicle and Equipment Training Coordinator, you will be scheduling all vehicle and equipment training for Mobility operations, including recertifications, remedial training, equipment upgrades, and new staff onboarding. In this position, you will support multiple operational groups across 15 locations and 20 shifts and also support a variety of adult learning activities related to orientation, training rollouts, learning initiatives, and employee development. You will also maintain training records and supports compliance with training, CUPE 37 collective agreement, and MOU requirements. Primary duties include:Coordinate one-on-one vehicle and equipment training across Mobility operational groups by creating efficient training schedules, prioritizing requests, balancing operational readiness, trainer availability, vendor capacity, equipment constraints, employee release time, and shift requirements.Work with internal leaders, employees, Trainers, and vendors to clarify training needs, provide updates, resolve scheduling issues, manage expectations, and adjust training plans based on changing operational priorities.Input relevant course data into the LMS and use LMS information to create training gap reports that support leader decision-making.Track training activity by division, equipment type, employee qualification status, and training priority to support compliance and seasonal readiness goals. Develop and maintain training status tracking tools, dashboards, and summary reports that give leaders visibility into training progress, outstanding requests, queue status, employee training needs, and upcoming training priorities.Coordinate prerequisite, compliance-based, recertification, corrective, and seasonal training needs, including the rollout of updated training documentation and verification of employee training acknowledgements when operational, safety, or equipment-related issues are identified. Qualifications A completed 2 year Diploma in Business Administration, Adult Learning, Event Management, or a related field and at least 3 years of related experience.Experience in an organizational effectiveness or learning and development role is required.Intermediate level of proficiency in Microsoft Office (Word, PowerPoint and Excel) is also required.Proficiency working with PeopleSoft Human Capital Management (HCM), Sum Total Learning Management System, SharePoint and Livelink would be considered an asset.Success in this position requires the following:Customer service and communication skills.Ability to work with people at all levels of the organization, solve problems both independently and as part of a larger team.Strong organizational skills and attention to detail are essential. Pre-employment Requirements Successful applicants must provide proof of qualifications.Workstyle This position may be eligible to work from home for at least part of the time as one of several flexible work options available to City employees. These arrangements depend on the operational requirements of the role,

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 As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. 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 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 As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. 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 Netherlands on Arbeitnow

The OpportunityCompany, Department: Nova Scotia Power, Corporate Facilities Location: Halifax, NSType of Employment: Regular, Full-time, On-site Closing Date: November 4, 2026 We are currently looking for a Facilities Coordinator to join our Corporate Facilities team in a full-time position. Reporting to Facilities Manager, you'll serve as a key point of coordination for workplace operations, vendor management, service requests, financial administration, and health and safety activities. Your work will help keep facilities running smoothly by supporting everything from workspace setups and contractor coordination to budget tracking and service delivery.This role offers an excellent opportunity to work across multiple areas of facilities management while building strong relationships with employees, vendors, and contractors. If you thrive in a fast-paced environment, enjoy managing multiple priorities, and take pride in delivering exceptional customer service, you'll have the opportunity to make a meaningful impact on the employee workplace experience. Key elements of this role include:Coordinate day-to-day facilities activities to support efficient workplace operations and a positive employee experience.Manage service requests through ServiceNow, ensuring timely response, follow-up, and resolution in accordance with established service standards.Support workstation setups, workspace modifications, and meeting or event space preparations as required.Coordinate vendors and contractors, including obtaining quotations, scheduling work, tracking progress, and maintaining effective communication.Support contractor safety programs by coordinating required documentation, safety requirements, and compliance activities.Process purchase order requests, track invoices, and support procurement-related activities to ensure accurate and timely financial administration.Assist with budget tracking, financial record maintenance, and reporting to support effective facilities management.Maintain administrative records and prepare reports that support operational decision-making and service delivery.Coordinate inspection schedules and monitor corrective actions to support workplace health, safety, and compliance requirements.Participate in health and safety initiatives and contribute to maintaining a safe, compliant, and well-managed workplace environment. These skills will make you successful:To thrive in this role, you recognize yourself in most of the following competencies and skills listed below:1-2 years of experience in facilities coordination, workplace operations, administrative support, or a related field.Experience coordinating vendors and contractors while managing multiple tasks and priorities.Knowledge of purchase order processes, invoice administration, budget tracking, and financial record management.Strong organizational and time-management skills with the ability to balance competing deadlines and responsibilities.Excellent customer service skills with a proactive and solutions-focused approach.Strong written and verbal communication skills, with the ability to build positive working relationships with employees, vendors, and contractors.Proficiency with Microsoft Office applications, particularly Excel, for reporting, tracking, and data management.Ability to maintain accurate records, prepare reports, and support operational processes with a high degree of attention to detail.Experience using facilities management or enterprise systems such as ServiceNow and Oracle is considered an asset.Knowledge of workplace health and safety principles and practices is considered an asset.We understand that experience comes in many forms, and we're dedicated to adding new perspectives to the team. So, if your experience is close to what we've listed above, please consider applying. Learn more about our culture and valuesAt the Emera Group of Companies, you'll be part of an inclusive, respectful workplace where everyone is welcomed and support

If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, join The City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life. The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request. As a Project Engineer, you will play a key role in supporting the successful delivery of Mobility¿s Construction and Materials capital and operational projects. The Project Engineer will provide technical support and expertise to the planning, execution, and delivery of roadway assets including but not limited to pavement rehabilitation, road reconstruction, concrete rehabilitation, asphalt plant upgrades, utility coordination, roadway design, drainage, and other works. The role will require collaboration and coordination with internal and external parties. Ensuring that project technical requirements and interested party commitments are met while delivering the project on time and within budget. Primary duties include:Manage projects during various phases including planning, design, procurement, construction, and close-out, in alignment with the project goals and objectives.Oversee project execution, delivery, and contract management. Proactively manage project budgets, schedules, risk strategies, and construction compliance to avoid cost overruns, scope creep, and schedule slippages.Develop and track project financials, including costs, contingencies, and cash flow to create accurate Estimates at Completion (EAC).Conduct regular site visits to monitor progress, ensure quality, and resolve issues.Coordination and collaboration with key interested parties including internal departments, citizens, developers, and third-party utility owners.Build and foster networks and relationships with consultants, contractors, and internal operations staff, to influence positive outcomes. Qualifications A degree in Engineering with at least 4 years of relevant professional engineering experience obtained after receiving your P. Eng. designation and a current licensure as a Professional Engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) complete with practicing status OR licensure and practicing status by the first day of work. Click here for more details.Previous municipal government experience managing public infrastructure projects, including pre-design, design, procurement, construction, and contract administration will be considered an asset.Success in this role requires analytical thinking, decision-making, problem-solving, organization and time management skills, along with the ability to work independently and under pressure to meet tight deadlines.Excellent communication, collaboration, and political acumen are essential in this role, along with the ability to build effective relationships with contractors, consultants, and colleagues. Working Conditions: Office environment with field visits and site inspections as required. Pre-employment Requirements Successful applicants must provide proof of qualifications. WorkstyleThis position may be eligible to work from home for at least part of the time as one of several flexible work options available to City employees. These arrangements depend on the operational requirements of the role, employee suitability, and are sub

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build storage on our cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you help decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. Storage is a strategic bet for this org: the systems you build will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Build the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Design and write our own services in Go: S3-compatible APIs, tiering, backup and recovery, caching layers. - Own the data plane: allocation, duplication, tiering, backup and recovery. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in France on Arbeitnow