Senior L3 Support Engineer

Why Join NebiusNebius is at the forefront of cloud computing, pioneering solutions that empower the global AI economy. We provide innovative tools and resources that enable our clients to tackle real-world challenges and transform their industries, eliminating the need for extensive infrastructure investments or the establishment of large in-house AI/ML team…

Why join Nebius?Nebius is pioneering a new era in cloud computing, catering to the global AI economy. We equip our clients with the essential tools and resources to tackle real-world challenges and revolutionize industries without incurring substantial infrastructure expenses or the necessity of assembling large in-house AI/ML teams. Our employees are at the forefront of AI cloud infrastructure, collaborating with some of the most experienced and innovative thought leaders and engineers in the industry.Our LocationsHeadquartered in Amsterdam and listed on Nasdaq, Nebius boasts a global presence with R&D centers across Europe, North America, and Israel. Our diverse team of over 1400 employees includes more than 400 highly skilled engineers, possessing deep expertise in hardware and software engineering, complemented by a dedicated in-house AI R&D team.The RoleWe offer you the chance to engage with state-of-the-art technologies in data operations, cloud computing, and infrastructure management. As global data center operations expand, you will find numerous opportunities for career advancement. Your work within the data center will significantly influence performance, customer satisfaction, and operational efficiency, with the chance to contribute to new data center initiatives. Collaborating with experts in AI data center development and operations will provide you with invaluable insights from industry leaders. This dynamic environment encourages innovation and enables you to develop solutions that surpass industry standards in design and deployment.As a Field Delivery Engineer, you will take the lead in the on-site delivery and deployment of hardware at new locations. Your responsibilities will include planning, coordinating, and supervising activities from rack acceptance tests to full operational readiness, ensuring that servers, storage, networking, and associated systems are installed and functioning in accordance with specifications.You are welcome to work at our data center located in Paris or Béthune.

Artelia is hiring a Chef / Cheffe de Projet Infrastructure Ferroviaire to lead railway infrastructure projects based in Paris. This position centers on managing teams and ensuring projects move smoothly from initial planning to final delivery. Key responsibilities Oversee and coordinate railway infrastructure projects throughout the Paris area Lead project teams and ensure objectives and deadlines are met Apply technical knowledge to support improvements in transportation mobility and efficiency About Artelia Artelia delivers engineering and project management services, with a dedicated focus on urban rail systems through its infrastructure ferroviaire division.

Segula Technologies is seeking a skilled Project Manager specializing in HVAC systems for railway and underground infrastructure. In this pivotal role, you will oversee various projects ensuring that they are completed on time, within budget, and to the highest quality standards. You will collaborate with cross-functional teams and stakeholders to deliver innovative solutions that meet our clients' needs.

Role overview Scaleway is looking for a Site Reliability Engineer (SRE) focused on Compute services in Paris. This role centers on maintaining the reliability, performance, and scalability of our cloud infrastructure. The SRE will play a key part in supporting our customers and improving how we run and operate our systems.

The REDAPL organization at Datadog is in search of a seasoned and strategic leader to manage our Resource Graph team. This team is pivotal in tracking our customers’ infrastructure resources and their interconnections. Additionally, the REDAPL Resource Graph plays a crucial role in supporting Datadog’s Security product offerings. This position will significantly impact the evolution of our data infrastructure, ensuring our systems achieve optimal performance and reliability. As our team expands rapidly, you will also take an active role in recruiting top-tier candidates to enhance our capabilities. At Datadog, we cherish our office culture, which fosters relationships, fuels creativity, and encourages collaboration. We support a hybrid work environment, allowing our employees to cultivate a work-life balance that suits their needs.

Join Capi as a Product EngineerCapi is revolutionizing the financial infrastructure for trade in emerging markets. With over $18M in funding from prestigious investors such as Creandum, Y Combinator, and General Catalyst, we are committed to making global trade easier and more accessible, enabling local businesses to thrive and contribute to their communities’ prosperity.Our mission is to enhance GDP in emerging markets by creating a more equitable global financial system. We simplify the process for importers to pay their international suppliers, allowing businesses to expand rapidly, create jobs, and drive prosperity in their countries.Our diverse team of approximately 80 passionate individuals spans 10 countries, united by a shared ambition to make a tangible impact in the world. We are looking for driven individuals to join us in this mission!Role OverviewAs a Product Engineer, you'll be an integral part of a dynamic team of engineers and product leaders, collaborating closely with our founding team across London and Paris. You'll have the opportunity to shape the product vision and technical architecture from day one. Your role will involve building innovative technology solutions that address customer challenges as we expand our reach in emerging markets.To succeed, you should possess a deep sense of empathy and curiosity to understand the root of problems, coupled with the creativity to devise solutions that balance impact, effort, and user satisfaction.Key ResponsibilitiesEngage in the product lifecycle from ideation to UI development, backend logic, deployment, and feedback measurement.Communicate updates about new features, gathering feedback pre-implementation and explaining details at launch.Define and oversee delivery milestones, ensuring alignment between engineering and product priorities.

Join us as we seek to expand our team with an innovative Audio and Multimodal ML Engineer at connecthum, a thriving AI infrastructure startup dedicated to developing the safety and control framework for large-scale AI systems.About connecthum:An AI-native product company focused on enhancing AI safety and infrastructure.Supported by leading international investors.Expertly managing substantial AI traffic across diverse enterprise environments.Specializing in training and fine-tuning proprietary models for superior performance and reliability.A compact, highly skilled team that embraces a fast-paced development cycle.We are committed to creating a robust control and evaluation layer for AI systems, empowering organizations to define, test, and enforce AI behavior in real-world scenarios.Your Role:Train and enhance large-scale audio and multimodal models.Design and execute experiments focused on architecture, data mixtures, and training strategies.Develop and optimize audio data pipelines to ensure efficiency.Enhance inference speed, latency, and production readiness for models.Deploy models end-to-end in low-latency environments.Establish substantial evaluation metrics that extend beyond standard benchmark scores.Collaborate closely with research and engineering teams to drive innovation.This is a dynamic, hands-on position where research and production converge.Technical Environment:Utilizing PyTorch-based training pipelines.Engaging in large-scale distributed training techniques.Implementing speech and audio modeling architectures.Integrating multimodal models for comprehensive solutions.Optimizing models through quantization, distillation, and streaming inference.Overseeing production deployment and serving systems.(Full technical stack details will be shared during the interview process.)Qualifications:Minimum of 3 years of experience in training deep learning models, particularly in audio or speech domains.Strong expertise in distributed training frameworks.Deep understanding of audio signal processing fundamentals.Proven experience in deploying models to production, with a focus on latency and performance.Exceptional problem-solving skills and collaborative spirit.

About Theodo and Our SuccessSince 2009, Theodo has been a trusted partner for innovative companies, guiding them in the design, development, and deployment of cutting-edge digital products by leveraging the best of technology and Lean methodologies.With exceptional growth over the past 15 years, our team now consists of over 700 passionate Theodoers, primarily Software Engineers committed to continuous improvement. Theodo has structured itself into specialized entities based on technology (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve €100M in revenue.Theodo Cloud serves as the DevSecOps arm of Theodo, focusing on building robust infrastructures and enhancing cloud cybersecurity.Our mission is to empower scale-ups and large enterprises to address their business challenges through technology.Our teams create scalable, resilient, and secure infrastructures for developers and end users, transforming infrastructure into a growth engine rather than a bottleneck.Your Team:At Theodo, tech professionals work in project teams tailored to each client's needs, comprising Software Engineers, Tech Leads, and Product Managers. Together, they closely collaborate with clients, engaging in regular discussions to share progress, deepen understanding of challenges, and adapt the product closely to user needs.As an Engineering Manager, your role involves leading up to 4 Tech Leads, overseeing the success of 4 projects in collaboration with a Group Project Manager.Your Future Missions:We currently seek support for "large account" projects that feature complex products and architectures developed by multiple squads at Theodo:- Manage and Mentor Tech Leads: You will assist 1 to 4 Tech Leads in their skill enhancement and personal development.- Ensure Technical Delivery: You will guarantee code quality (3S: stability, security, speed), milestone adherence, and architectural robustness.

Join Scaleway as a Site Reliability Engineer (SRE) and play a pivotal role in shaping the future of sovereign cloud technology. In this position, you will enhance the reliability, performance, and scalability of our innovative storage platforms. Your key responsibilities will include automating processes, monitoring infrastructure, and implementing improvements that ensure robust systems for our diverse range of products and services. Collaborate with an international team of experts dedicated to delivering excellence in cloud solutions.

Join us as a Frontend Engineer specializing in TypeScript and React at connecthum, an innovative AI infrastructure startup dedicated to developing advanced solutions for the safety and management of large-scale AI systems.About connecthum:A pioneering AI-native product company focused on AI safety and infrastructure.Supported by a diverse group of international investors.Expertly handling large volumes of AI traffic within enterprise environments.Creating and optimizing proprietary models for enhanced performance and reliability.A compact, highly skilled team committed to rapid delivery.Our mission is to develop a robust control and evaluation framework for AI systems, empowering organizations to define, test, and regulate AI behaviors in real-world contexts.Your Contributions:Take ownership of and deliver comprehensive product features across the frontend and full stack.Craft user-friendly, high-quality UX designs that simplify complex AI workflows.Develop seamless product flows, from initial onboarding to advanced analytical capabilities.Work collaboratively with founders, product managers, designers, machine learning experts, and researchers.Translate state-of-the-art AI functionalities into dependable user-centric tools.Lead the product development lifecycle while shaping technical direction and product strategies.This hands-on position lies at the intersection of product development, AI, and engineering.Technical Environment:Proficient in TypeScript, React, and Next.js.Utilizing Tailwind CSS for design systems.Integrating with LLM APIs (OpenAI API, function calling, context orchestration).Creating data visualization and analysis interfaces.Building full-stack product architecture.Ensuring effective production deployment and system observability.Your Skills:Demonstrated expertise in TypeScript, React, and Next.js.Experience in developing product features from concept to deployment.Comfortable working with LLM APIs and navigating AI product workflows.Proven ability to collaborate with multidisciplinary teams.

Join Theodo: Pioneers in Digital InnovationSince 2009, Theodo has been at the forefront of assisting innovative enterprises in the design, development, and deployment of ingenious digital products by leveraging the best in technology and a Lean approach.With remarkable growth over the past 15 years, our team has expanded to more than 700 passionate Theodoers, predominantly Software Engineers committed to technology and continuous improvement. Theodo has structured its operations into specialized entities by technology (Theodo Apps, Theodo Cloud, Theodo Data & AI) and by industry (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve a turnover of €100M.Theodo Cloud operates as the DevSecOps branch of Theodo, focusing on building infrastructures and ensuring cloud cybersecurity.Our mission is to empower scale-ups and large companies to tackle their business challenges through technology.We create scalable, resilient, and secure infrastructures for developers and end-users, transforming infrastructure into a growth driver rather than a hindrance.Your Team Awaits:The technical team at Theodo Cloud is divided into two main areas:- Build: Focused on infrastructure creation, migration, and optimization projects.- Run: Dedicated to managing our clients' infrastructures.Our Run team is rapidly expanding and is on the lookout for a Site Reliability Engineer to bolster our capabilities.The Run team comprises 7 skilled professionals who engage in incident response and the operational maintenance of infrastructures.Key Responsibilities:As an SRE in the Run team, you will contribute to the management of cloud infrastructure by adhering to technical best practices and standards established by the team.- Respond to production incidents and conduct thorough technical investigations.- Carry out post-mortem analyses and ensure clear and structured communication with clients.- Address client inquiries and provide insightful feedback.

Overview: We are on the hunt for a skilled DevOps Engineer to architect and sustain the cloud and on-premise infrastructure that powers our innovative platform. Your responsibilities will span Kubernetes clusters, CI/CD pipelines, observability, networking, and automation, ensuring our production environment is reliable, secure, and scalable.About White CircleWhite Circle is dedicated to AI Safety, developing a framework that guarantees the safety, reliability, and efficiency of AI systems. Central to our platform are policies—clear, natural-language guidelines that dictate the permissible actions of AI models. We automate the testing, enforcement, and enhancement of these policies at scale.We have successfully secured $11M in funding from industry leaders and top-tier investors, including veterans from OpenAI, Anthropic, HuggingFace, and more.Our systems handle over one hundred million API calls each month.We specialize in fine-tuning and training our own LLMs for optimal performance and cost-efficiency compared to existing models.As a small, focused team, we value deep engagement with challenging problems. If you’re eager to see your contributions rapidly deployed into production and influence the future of AI safety, we want to hear from you.Your Responsibilities:Design, develop, and maintain production infrastructure in AWS and on-premise environments.Oversee and enhance Kubernetes clusters for deployment, scalability, reliability, and daily operations.Develop and maintain CI/CD pipelines to facilitate safer, quicker, and more reliable software releases.Manage container infrastructure, focusing on Docker image management, runtime security, and overall lifecycle.Increase system reliability, performance, and observability through rigorous monitoring, alerting, and troubleshooting.Implement infrastructure as code using Terraform for consistent and adaptable environments.Manage networking across the stack, including routing, firewalls, load balancing, and inter-cluster communication.Automate processes and enhance workflows using Python scripts and internal tools.Collaborate with engineering and ML teams to bolster product infrastructure, internal platforms, and compute-intensive workloads.Ideal Candidate:Possesses a strong background in cloud infrastructure, particularly AWS.Demonstrates expertise in Kubernetes and CI/CD practices.Is proficient in Python and Terraform.Exhibits a solid understanding of networking concepts.Thrives in a collaborative, fast-paced environment.

About the Internship Wavestone is looking for a Final Year Intern or Apprentice to join the team as a Digital Transformation Consultant in Paris. The focus: Transport, Infrastructure, Manufacturing, and Energy sectors. Interns will contribute to projects that help major companies move forward with digital transformation initiatives. What You Will Do Work closely with experienced consultants on real client projects Support strategic planning and technology implementation efforts Help identify and deliver operational improvements Apply academic knowledge in a hands-on, professional setting Who Should Apply This internship suits proactive students in their final year who want to gain practical experience and deepen their understanding of digital transformation in key industries.

Join Scaleway as our Hardware Expertise Manager, where you will lead a dynamic team to shape the future of cloud infrastructure. Your role will involve overseeing hardware development, ensuring high-quality standards, and collaborating with cross-functional teams to optimize performance and reliability.

Segula Technologies is seeking a Control Engineer or Control Engineer Leader to join its Paris office. The role centers on designing and implementing control systems that drive performance and efficiency across various projects. Main responsibilities Develop control system solutions for both ongoing and new projects. Collaborate with cross-functional teams to help achieve project objectives. Use control engineering expertise to fulfill technical and project requirements. Work environment The team values fresh ideas and technical innovation. Daily work involves close collaboration and a focus on practical problem-solving.

Join everience as a Production Engineer and become a key contributor to our innovative engineering team. In this dynamic role, you will be responsible for optimizing production processes, enhancing efficiency, and ensuring project deliverables meet the highest standards. Your technical skills will play a crucial role in the successful deployment of our engineering solutions.

Join iliad-free as a Commercial Engineer, where you'll play a pivotal role in driving sales and fostering client relationships. Your expertise will be crucial in understanding customer needs and providing tailored solutions that enhance their experience.

Role Overview Sites is hiring a Civil Engineering Seismic Analysis Engineer in Paris. This position focuses on strengthening the resilience of infrastructure projects to seismic events. The role involves applying technical knowledge to develop calculation methods and support the safety of civil structures. What You Will Do Analyze infrastructure projects for seismic risks and structural integrity Develop and refine calculation methods for seismic analysis Contribute technical expertise to improve the safety and reliability of civil engineering projects Location Based in Paris.

UpSlide est la première solution de productivité et de branding dédiée aux services financiers. Notre logiciel révolutionne l'utilisation de PowerPoint, Word, Excel et Power BI, permettant à des entreprises telles que Citi, KPMG et BNP Paribas de se concentrer sur des activités à forte valeur ajoutée au lieu de perdre du temps sur le formatage ou le copier-coller. Nous sommes en forte croissance, avec environ 200 talents dans nos bureaux à Paris (siège social), Londres, New York, Singapour et Berlin.Nos valeurs Nos valeurs fondamentales orientent notre méthode de travail et sont au cœur de notre processus de recrutement. Pour rejoindre notre équipe, nous recherchons des individus qui partagent les valeurs suivantes :Excellence : Chaque détail compte, et nous veillons à la qualité de nos livrables.Confiance : Nous sommes passionnés, engagés, et nous agissons avec autonomie.Bien-être au travail : Nous cultivons un esprit positif et partageons notre enthousiasme avec nos collègues et clients.Missions et responsabilités En tant qu'Ingénieur en Analytics, tu es responsable de la conception et de la maintenance des produits de données qui facilitent la prise de décision et l'optimisation des performances chez UpSlide. Tes responsabilités incluent :Gérer des projets de données de A à Z : cadrage avec les équipes métiers, développement, livraison et amélioration continue.Construire et maintenir des pipelines de données et des transformations sur Microsoft Fabric avec dbt.Concevoir des tableaux de bord Power BI clairs et exploitables pour suivre la performance commerciale et produit.Collaborer avec les équipes RevOps, Success et Product : qualifier les besoins et challenger les priorités de manière autonome.Notre stack techniqueLangages : SQL, Python, etc.