ML engineer confirmé (H/F)

SFEIR

  👾 Tu as l'âme d'un vibe coder, tu dév avec Claude Code en fond, tu prompts plus vite que ton ombre et tu penses que l'IA va redéfinir ton métier ?   Welcome chez SFEIR !   🧠 Ce qu'on recherche chez toi   Tu n'as pas peur de : - Construire des pipelines data solides avec Python, SQL, FastAPI, Apache Spark…;  - Maîtriser BigQuery, Dataflow, Composer et l'écosystème Google Cloud ;  - Penser architecture data, monitoring, optimisation et scalabilité ;  - Migrer des stacks legacy vers le cloud sans casser la prod ;  - Expérimenter avec l'IA générative pour booster tes workflows data.   Tu veux comprendre les enjeux business, pas juste faire tourner des ETL.   🛠️ Les projets sur lesquels tu pourrais t'amuser   - Développer des applications de pilotage retail avec impact business direct ;  - Migrer des infrastructures Hadoop vers Google Cloud en mode Lift & Shift ;  - Créer des algorithmes ML temps réel pour optimiser la supply chain ;  - Construire des dashboards Looker Studio qui changent la donne ;  - Orchestrer des workflows complexes avec Airflow et Terraform.    Bref, du concret, pas des PoC qui finissent au placard.   🚀 Pourquoi nous rejoindre ?   Prêt·e à faire passer ton expertise au niveau supérieur ? Chez SFEIR, on ne te demande pas de choisir entre excellence technique et environnement collaboratif. Ici, les deux vont de pair.   Tu rejoins une communauté d'expert.e.s où ce ne sont pas les postes qui définissent ta trajectoire, mais tes compétences. C’est ce qu’on appelle une “Skill-Based Organization” : tu construis ton parcours selon tes aspirations, pas selon un organigramme figé.   Ta progression, accélérée par le collectif :   - Un vrai management technique : ton Engineering Manager codent sur des projets clients,  - Un recrutement exigeant via nos tests techniques “PlayOffs” : ils te positionnent comme expert.e crédible dès ta première mission,  - Un écosystème d'apprentissage complet : formations continues via SFEIR Institute, partenariats officiels (Google Cloud, AWS, Microsoft, dbt,.. ), certifications, labs et sessions animées par des experts internes. - Une culture digitale native : agile, décentralisée, libre.  - Une vie de communauté intense : des événements tech toutes les semaines, 71 groupes thématiques pour échanger, et des cercles volontaires (Inclusivité, Green IT…). - Des trajectoires qui s'inventent avec toi : expertise pure (Individual Contributor), management (Engineering Manager), Trainer, Speaker ou Évaluateur.trice. Chaque année, le Comité Carrière fait le point avec toi pour co-construire la suite. - L'après SFEIR : 83% de nos alumni rejoignent de grandes entreprises où la tech compte.   Tu veux progresser ? On te file les moyens.  Tu veux explorer ? On t'ouvre les portes. Tu veux t'impliquer ? Ta voix compte.   💰 Combien tu vas gagner chez SFEIR ?   À l’issue des PlayOffs, nos tests techniques, on sera en mesure de déterminer tes compétences, et surtout ton potentiel afin de te proposer une rémunération adaptée.   Pour te donner une idée, la rémunération moyenne au sein de SFEIR Lille avec ton expérience démarre à 44 000€ brut par an.   Ton salaire sera ensuite revalorisé chaque année. Tes compétences, rien que tes compétences !   🚀 Notre botte secrète : RAISE & SFEIR AI   Maîtriser l'IA est un impératif. Le programme SFEIR IA te permet de devenir un.e développeur.euse augmenté.e pour garder une longueur d'avance. Tu auras accès à RAISE, notre plateforme GenAI interne (multi-LLM, RAG instantané) pour builder des trucs puissants en quelques clics.   ✨ Qui sommes-nous ?    SFEIR est un pure player du digital et de la transformation numérique, animé par 900 techs en France, en Belgique et Luxembourg.   Catalyseur d'innovation technologique à la pointe de la révolution Gen AI ; nous propulsons les entreprises vers leur futur digital en orchestrant leur transformation via : l'IA générative ; l'architecture Cloud et Data ;  le développement d'applications web & mobiles nouvelle génération.   Bref, on est là pour coder, apprendre, partager, et construire des produits qui comptent.   🧀 Et Lille dans tout ça ?   Depuis 2014, SFEIR Lille, c'est : Une team de 100 techs passionné.e.s, Une centaine de projets locaux à fort impact, Une forte présence sur la scène tech (50 confs en 2024 💥), Des locaux à 5 min des gares,  Des afterworks, des Meetups, des formations, des talks… bref, de la vie.   🎯 En pratique   Lieu : chez nos clients sur la métropole lilloise, Télétravail : 2 à 3 jours par semaine,   🎮 La suite des événements   Call avec Lisa, Gaëlle ou Khadija (nos recruteuses lilloises), Entretien RH personnalisé,PlayOffs (tests techs en pair prog avec 3 Sfeirians), Rencontre avec la team business, Final avec notre boss local.   🤩 Ready to build the future of data with us ?   Tu veux architecturer des plateformes data de ouf, avec une team qui te ressemble, dans une boîte qui respecte ton rythme et ta curiosité ?   Let's go ✌🏻 ! Envoie-nous ton CV ou viens discuter en DM.

Wallapop

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫 Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.   The Challenge 🧩 Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics. As an ML Engineer (MLOps), you will contribute to the evolution of our ML Platform and MLOps practice. You will partner with Data Scientists, Data Engineers, and DevOps to collaborate on a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.   What You Will Do 👇 * Iterate and maintain Wallapop’s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will help execute the long-term vision and roadmap for MLOps. * Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently. * Adopt and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain. * Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards. * Investigate and integrate new frameworks and tools (e.g., for LLMs or real-time inference) to keep our stack modern and effective.   What We’re Looking For 🔎 * Solid experience contributing to and maintaining production-ready ML platforms and pipelines. You understand the lifecycle from experimentation to monitoring. * Solid understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes. * Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code. * Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference. * Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning. * Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch). * Professional proficiency in English, with the ability to communicate technical concepts clearly to diverse stakeholders.   What Would Be A Plus 🚀 * Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex. * Familiarity with Big Data technologies like Spark or Beam. * Experience with Data Engineering tools such as Airflow, dbt, or Datahub. * Experience with other cloud platforms like GCP or Azure in addition to AWS.   Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals. Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone. Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits: * Generous individual learning budget of 2k per year * Free office meals, lunch selection from different providers * Group and individual English, Catalan & Spanish lessons as part of our working day * Private Health Insurance with Alan * Flexible working hours + intensive Fridays * Flexible remuneration to deduct from gross salary (kindergarten/food/transport check) * Gym & Wellness plan, including physiotherapist in the office * Generous referral Program & Charity Donation * Bonus for weddings & newborns * Wallapop Renta (Tax income support) * Monthly plan for free shipping, bumps & home-pick-up on our services * Work anniversary Gifts and Birthday Surprises * Contribution towards your WIFI in your monthly payroll * One-off payment based on compensation package to go towards setting up your home office * Relocation package (monetary support and legal advice) and visa sponsorship, if applicable * 26 holidays per year * TOP hardware of your choice (latest Apple or Windows)   What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.** * Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes. * Case Study - you will be working in a case study to assess the technical skills required for the role.  * Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes. * Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes. * Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. * Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Cloudflare

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal  About the Role  Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. THE ROLE CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. WHAT YOU MIGHT WORK ON Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and identify transit provider policy change that is required to resolve. Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: * Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. * Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. * Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. RESPONSIBILITIES Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. REQUIREMENTS * Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. * Strong foundation in networking and security: * TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. * Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. * Routing protocols: BGP, OSPF, including path selection and route propagation. * Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. * VPN and encryption: IPSec, SSL/TLS tunnels, GRE. * Zero Trust architecture, network segmentation, modern security models. * Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. * Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. * Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. * Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. * Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. DESIRED SKILLS & EXPERIENCE * SRE, DevOps, or platform engineering experience with direct customer-facing accountability. * Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). * Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. * Data-at-scale analysis using SQL, PromQL, or equivalent. * Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). * Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. * Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. * Experience applying AI/ML to production engineering or operational workflows. * Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. BONUS POINTS * Active Cloudflare user who understands the platform as a practitioner. * Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. * Cloud networking and security experience across AWS, Azure, or GCP. * Web programming (HTML, JavaScript) and regular expressions. * Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). * Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. COMPENSATION ● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000 * The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. EQUITY This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.