Dailymotion

• Prendre la responsabilité de l'équipe APIs & Performance • Pousser l'équipe vers l'automatisation et l'utilisation de l'IA • Installer une culture d'information proactive

• Design and develop backend systems via REST APIs • Design and improve video processing systems (scheduling, state machines, processing tasks) • Design and enhance the video upload system • Apply analytical capabilities to Big Data challenges at the scale of multiple petabytes of video • Work closely with Architects, Product Managers, and Scrum Masters

Role Description Ce qu'on recherche en priorité - +8 ans d'expérience en architecture et développement backend (services backend, tests automatisés). - Solide maîtrise de la conception orientée objet. - Pratique d'un ou plusieurs langages de notre stack : PHP, Go, Python, Java. - Maîtrise d'une solution de conteneurisation : Docker ou Podman. - Expérience solide dans la construction d'APIs REST. Données & cloud - Expérience avec les bases de données SQL. - Une expérience en NoSQL (ex : MongoDB, Cassandra) est un vrai plus. - Expérience dans le développement et le déploiement d'applications sur des plateformes cloud, idéalement AWS. Langues - Anglais niveau B2 (documentation, présentations, réunions). - Français requis, l'équipe échangeant majoritairement en français au quotidien. Ce qui fait la différence - Une appétence pour la mise en place et l'intégration de LLM. - Idéalement un intérêt ou une première expérience dans la vidéo. Qualifications - Une appétence pour la mise en place et l'intégration de LLM. - Idéalement un intérêt ou une première expérience dans la vidéo. Requirements - Tu ne coches pas toutes les cases ? Postule quand même. - Nous recherchons la bonne personne pour rejoindre l'équipe, pas juste un CV parfait. - Dailymotion est un employeur qui respecte l'égalité des chances. - Nous valorisons l'inclusion et souhaitons que tu nous aides à construire une communauté plus diverse. - Tous nos postes sont ouverts aux personnes en situation de handicap. - Besoin d'aménagements pendant le processus de recrutement ? N'hésite pas à nous le signaler en amont. Benefits - Premier call (30 min) avec Marvin : Un premier échange pour faire connaissance, te présenter Dailymotion, comprendre ton parcours et tes attentes, et répondre à tes premières questions. - Premier échange technique (1h30) avec Olivier, ton futur manager : Pas de coding en live ici, c'est un véritable échange en profondeur avec notre Principal Engineer. - Second échange technique (1h) avec Olivier et Raphael : Une discussion plus large et transverse sur ce que signifie être Ingénieur Backend chez Dailymotion. Company Description Dailymotion is more than just a video app, it's a visual conversation in motion powered by a unique algorithm designed to develop users' critical thinking. Dailymotion brings nuance to the debates that engage young audiences and puts listening, discovery, and kindness back at the heart of exchanges to help build a safer and more virtuous Internet. - Dailymotion Pro, a video hosting and streaming solution serving professionals across all industries. - Dailymotion Advertising, a powerful proprietary video marketing platform that offers a high-quality and safe environment for brands. - Our team is made up of 400 employees in France, New York, and Singapore.

• Define and lead the technical migration strategy • Design the necessary patterns and abstractions • Mentor and upskill a backend squad • Collaborate with Product teams • Work with DevOps and SRE teams

Role Description We're hiring our first dedicated Devops / MLOps Engineer. Our ML team runs +100 active AI projects on GCP and needs the industrialized infrastructure to match. ML team is moving fast and they need a dedicated expert to connect the dots, align on the right practices, and help both sides deliver at their best. You'll be that person. You'll work at the heart of an AI-first environment, where shipping models fast and reliably is the core business, not a side project. - Empower ML Engineers with the tools, infrastructure, and frameworks they need to iterate fast autonomously. - Accelerate time-to-market for production-ready ML products: seamless integration, proper service connections, access to data and resources. - Own ML CI/CD in close collaboration with the ML team, adapting existing frameworks to ML-specific needs, not just consuming them. - Keep ML Engineers in control of their models in production: monitor, troubleshoot, iterate, refine directly in prod, no staging/prod mirror. - Enable large-scale ML experimentation: robust, reproducible, scalable environments for both internal tests and A/B testing in production. - Deliver concrete MLOps building blocks (MLflow, Kubeflow, KubeRay...) and manage GPU infrastructure dynamically, you've seen L40 shortages mid-training, you know how to handle them. - Tackle technical debt on existing projects while laying the right foundations for what's next. - Be the technical mediator between ML and Backbone teams: understand both sides, propose solutions that stick. - Handle run responsibilities: on-call, post-mortems, level-1 failure analysis. Qualifications - Solid MLOps or DevOps background; projects shipped in prod matter more than years on a resume. - GCP expert: Vertex AI, GKE, GCS, BigQuery. - Full GitOps: FluxCD first, ArgoCD accepted. - Kubernetes in prod, not just in a lab. - Hands-on with real MLOps tools: MLflow, Kubeflow, KubeRay. - GPU-aware: you've managed GPU scarcity at scale during mass training runs. - Python is a must, Bash expected, Go or Rust a plus. - IaC (Terraform), containerization (Docker, Helm), observability (Prometheus, Datadog, Looker). - AI Coding Assistants (Claude, Cursor, Dust). - Data lifecycle management (cost, security, encryption). - Fluent in French and English. Requirements - Jupyter Notebooks, broader ML/AI ecosystem. - Data pipelines (Airflow, Dataflow, Kestra). - Redis clusters and infrastructure performance optimization. Benefits - Don't check every box? Apply anyway. - We're looking for the right person, not the perfect resume. If this role excites you, let's talk. - Dailymotion is an equal opportunity employer. All positions are open to people with disabilities. Need accommodations? Just let us know. Interview Process - HR Interview with Marvin (30mn). - Manager interview with Cédric & Thierry (1h). - Technical Interview with 2 Architects (1h): no coding test, just a real technical conversation. - ML Interview with Brice & Samuel (1h). - Final Interview with Alan, VP Platform (1h). Additional Information - Type of Contract: Permanent. - Department: Operations. - Compensation: EUR 75000 - EUR 85000 yearly.

Role Description We're hiring our first dedicated MLOps Engineer. Our ML team runs +100 active AI projects on GCP and needs the industrialized infrastructure to match. ML and DevExp teams are moving fast on their respective fronts and they need a dedicated expert to connect the dots, align on the right practices, and help both sides deliver at their best. You'll be that person. You'll work at the heart of an AI-first environment, where shipping models fast and reliably is the core business, not a side project. Your Mission - Empower ML Engineers with the tools, infrastructure, and frameworks they need to iterate fast autonomously. - Accelerate time-to-market for production-ready ML products: seamless integration, proper service connections, access to data and resources. - Own ML CI/CD in close collaboration with the DevExp team, adapting existing frameworks to ML-specific needs, not just consuming them. - Keep ML Engineers in control of their models in production: monitor, troubleshoot, iterate, refine directly in prod, no staging/prod mirror. - Enable large-scale ML experimentation: robust, reproducible, scalable environments for both internal tests and A/B testing in production. - Deliver concrete MLOps building blocks (MLflow, Kubeflow, KubeRay...) and manage GPU infrastructure dynamically, you've seen L40 shortages mid-training, you know how to handle them. - Tackle technical debt on existing projects while laying the right foundations for what's next. - Be the technical mediator between ML and DevExp: understand both sides, propose solutions that stick. - Handle run responsibilities: on-call, post-mortems, level-1 failure analysis. Qualifications - Solid MLOps or DevOps background; projects shipped in prod matter more than years on a resume. - GCP expert: Vertex AI, GKE, GCS, BigQuery. - Full GitOps: FluxCD first, ArgoCD accepted. - Kubernetes in prod, not just in a lab. - Hands-on with real MLOps tools: MLflow, Kubeflow, KubeRay. - GPU-aware: you've managed GPU scarcity at scale during mass training runs. - Python is a must, Bash expected, Go or Rust a plus. - IaC (Terraform), containerization (Docker, Helm), observability (Prometheus, Datadog, Looker). - Fluent in French and English. Requirements - Jupyter Notebooks, broader ML/AI ecosystem. - AI Coding Assistants (Claude, Cursor, Dust). - Data pipelines (Airflow, Dataflow, Kestra). - Data lifecycle management (cost, security, encryption). - Redis clusters and infrastructure performance optimization. Benefits - Don't check every box? Apply anyway. - We're looking for the right person, not the perfect resume. If this role excites you, let's talk. - Dailymotion is an equal opportunity employer. All positions are open to people with disabilities. Need accommodations? Just let us know. Interview Process - HR Interview with Marvin (30mn) - Manager interview with Cédric (1h) - Technical Interview with 2 Architects (1h): no coding test, just a real technical conversation. - ML Interview with Brice & Samuel (1h) - Final Interview with Alan, VP Platform (1h) Additional Information - Type of Contract: Permanent - Department: Operations - Compensation: EUR 75000 - EUR 85000 yearly

• Build and ship features for dailymotion.com • Collaborate closely with designers • Own the visual and interactive quality of the product • Contribute to bug fixes and performance optimizations • Work on backend services and APIs when needed • Use AI tools to improve workflows

• Technical leadership • Define and drive the technical strategy for migrating our Core Domains by faithfully reproducing our custom PHP framework in Python using FastAPI • Own architectural decisions to ensure a progressive, non-disruptive migration: controlled code duplication, gradual traffic shift from the old stack to the new • Design the patterns and abstractions required so the new Python framework is functionally equivalent to the old one while meeting modern standards • Establish technical standards and best practices for decommissioning legacy systems • Mentor and upskill a backend squad specialized in the migration • Collaborate with other squad leads to ensure coherent platform evolution • Drive technical decision-making and resolve the most complex architectural challenges • Foster a culture of technical excellence and continuous improvement • Ensure functional parity between the old and new stacks: data stored in the old system must be accessible identically in the new system

• Iterate at high velocity: experiment, test with our audience, then consolidate what works speed and learning over perfection • Ship features that create real user value, taking calculated risks and smart shortcuts to maximize business impact • Build and scale backend services and APIs (REST/GraphQL) that power a world-class mobile experience • Collaborate closely with iOS/Android, Product, and QA teams with a shared product ownership mindset • Evolve the architecture pragmatically to support growth without over-engineering • Drive performance, reliability, and observability with full ownership and proactivity

Role Description Join a dedicated product team operating in full startup mode, building the next breakthrough social platform. We're creating something that's never existed before – and we need you to make it happen. As a Backend Engineer in our mobile team (3 iOS devs, 3 Android devs, 2 backend devs), you'll be at the heart of product innovation. Here, code is a means, not an end: what matters is the impact on our millions of users. We're not looking for architects obsessed with technical debt or building the perfect stack. We're looking for builders who want to iterate, test, and ship features that users love. Your code will directly power experiments that reach real audiences, giving you immediate feedback on what works and what doesn't. What You'll Do - Iterate at high velocity: experiment, test with our audience, then consolidate what works speed and learning over perfection - Ship features that create real user value, taking calculated risks and smart shortcuts to maximize business impact - Build and scale backend services and APIs (REST/GraphQL) that power a world-class mobile experience - Collaborate closely with iOS/Android, Product, and QA teams with a shared product ownership mindset - Evolve the architecture (async, event-driven, messaging) pragmatically to support growth without over-engineering - Drive performance, reliability, and observability with full ownership and proactivity - Shape the product culture and push the entire team toward excellence You'll have the autonomy to make decisions, the freedom to experiment, and the responsibility to deliver results. This is not a role where you execute someone else's plan you'll be co-creating the product strategy. Tech Stack - Core: Python (asyncio), FastAPI, REST/GraphQL, MySQL, Typescript, React, RabbitMQ, Docker/K8s - Legacy/Bonus: PHP, Elasticsearch, MongoDB Qualifications - Strong backend programming skills with deep knowledge of Python (asyncio) and SQL databases - Proven experience designing scalable APIs and event-driven architectures (queues/messaging) - Data-driven approach to decision-making with a strong interest in analytics - Results-oriented mindset: you constantly find relevant shortcuts and pragmatic solutions - Fluent in English, French is a plus - 5-6 years of experience minimum Requirements - Experience in B2C startups where you've seen products grow from 0 to 1 - Interest in AI and ML applications in consumer products - Side projects that show your passion for building and experimenting - Experience working in fast-paced, cross-functional teams - Familiarity with mobile-first architectures and constraints Benefits - This position is open to fully remote (France only) or Paris-based in the 3rd arrondissement - No on-call duties required - If you don't check every box, apply anyway. We're looking for the right person to join the team, not just a perfect resume. - Dailymotion is an equal opportunity employer. We value inclusion and want you to help us build a more diverse community. - All positions are open to people with disabilities, and we encourage everyone to apply. - Need accommodations during the hiring process? Just let us know in advance. Interview Process - HR Interview with Marvin (30 min): Get to know each other, discuss your motivations, and align on role expectations - Manager Interview with Stephen, your future manager (45 min): Deep dive into the role requirements, assess your technical background and problem-solving approach, and challenge your skills through concrete scenarios - Technical Case Study (1 hour): Work on a take-home case study followed by a presentation to two members of our tech team - Leadership Interview with N+2 (1 hour): Discuss long-term career goals, understand how this role fits into Dailymotion's broader strategy, and explore growth opportunities within the organization Welcome at Dailymotion 🎉 - Type of Contract: Permanent - Department: Operations - Compensation: EUR 55,000 - EUR 70,000 yearly