🚀 About the Team

🎯 Your Mission

✏️ Your Responsibilities

DevSecOps Strategy & Roadmap

• Assess the current DevSecOps maturity and define a clear roadmap in coordination with the Architecture Committee.
• Prioritize actions using a global risk-based approach — not only security risk — adapted to Wakam’s context.
• Define performance and reliability metrics for security processes.

Team Support & Enablement

• Support development and operations teams on day-to-day security topics.
• Put business and technical risks into perspective to help teams make informed decisions.
• Train and raise awareness among teams on security best practices, including secure coding, threat modeling, and related practices.
• Help build a sustainable DevSecOps culture across the organization.

Shift-Left Security

• Integrate SAST, DAST, and SCA tests directly into CI/CD pipelines with optimized response times.
• Design and deploy fast, reliable, parallelized security test suites with immediate feedback for developers.
• Document data flows and model attack surfaces from the design phase.

Automation & Tooling

• Deploy and configure static and dynamic analysis tools such as SonarQube, Trivy, Snyk, OWASP ZAP, and similar solutions.
• Orchestrate secure deployments through CI/CD pipelines, including automatic rollback mechanisms and multi-level validation.
• Develop custom automation tools when market solutions do not fully meet Wakam’s needs.

Versioning & Configuration Management

• Implement Infrastructure as Code (IaC) with embedded security controls using tools such as Terraform and Ansible.
• Ensure full versioning of code, infrastructure, configurations, and security policies.
• Manage secrets and certificates through dedicated solutions such as HashiCorp Vault or equivalent tools.

Monitoring & Incident Management

• Deploy and maintain security monitoring tools, including SIEM, alerting, and monitoring solutions.
• Automate anomaly detection and incident response through SOAR and automated runbooks.
• Actively contribute to the management and resolution of security incidents.

Workplace Environment Security Support

• Provide technical support to the team managing the workplace environment, including Microsoft 365, Exchange Online, and SharePoint, on security and monitoring topics.
• Contribute to integrating collaborative tools into global security policies, including authentication, conditional access, DLP, and SIEM alerts.
• Help automate recurring administration tasks and implement alerts for abnormal behaviours.

Technology Watch & Continuous Improvement

• Maintain active monitoring of DevSecOps trends, new threats, and emerging practices.
• Evaluate and integrate relevant technologies for Wakam’s environment.
• Share best practices and lessons learned internally and within the DevSecOps community.

✨ Who You Are

• 7+ years of experience in software engineering and/or operations.
• A solid development background, either as a Developer or DevOps profile.
• Strong hands-on experience in application security and infrastructure security.
• A good understanding of cloud-based production environments.
• Experience with Security Operations / SOC is a plus.

Technical Skills

• DevOps & Automation: CI/CD, Azure DevOps, GitHub Actions
• Containers: Docker, Kubernetes
• Infrastructure as Code: Terraform, Ansible
• Cloud Platforms: Azure, AWS
• Scripting: Python, Bash, PowerShell
• Application Security: OWASP, secure coding practices
• Security Tools: SAST, DAST, SCA, vulnerability scanning

Security Expertise

• Knowledge of security protocols and cryptography.
• Familiarity with compliance frameworks and standards.
• Experience using vulnerability scanning and mitigation tools.
• Strong infrastructure security practices.

🧠 What You Bring

• Strong mentoring, influence, and support skills.
• Excellent communication skills, with the ability to explain technical risks and concepts clearly.
• Proven technical leadership and change management capabilities.
• High autonomy and a proactive, solution-focused mindset.
• A 360° vision, with the ability to balance security, business, and technology needs.
• Adaptability and comfort working in a transforming environment.

🌟 Why Join Wakam?

• Being at the heart of tech-led transformation.
• Collaborating with passionate experts across disciplines.
• Joining a culture that promotes ownership, agility, and innovation.
• Benefiting from flexible working arrangements — hybrid or fully remote within the UK.

🏆 Hiring Process

1. Interview with our Talent Acquisition Partner
2. Manager interview with our Head of Information Security
3. Case study with the Digital Team
4. HRBP interview

AI-Assisted Interview Process Policy | Notion

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.

L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.

Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.

MACHINE LEARNING ENGINEER - ALTERNANCE

Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.

Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.

Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.

TES MISSIONS

Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.

Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.

• Tu contribueras aux projets existants comme tous les membres de l’équipe.
• Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
• Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
• Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
• Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.

Tu auras l’opportunité de :

• Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
• Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
• Expliquer l’utilisation de la data et sa valeur ajoutée.

TON ENVIRONNEMENT TECHNIQUE

• Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.

PRÉSENTATION DE L'ÉQUIPE

Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon.  Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.

TA FUTURE CONTRIBUTION

En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data. 

Tes missions principales incluront :

• Conception & Développement : Participer à l'industrialisation des pipelines de données et de Machine Learning (training et inférence).

• Mise en production (MLOps) : déployer des modèles via Docker et Kubernetes et assurer l'intégration continue (CI/CD) pour garantir la stabilité de nos services.
• Optimisation : Contribuer à l'amélioration de la qualité du code (testing, refactoring) et à l'optimisation des performances algorithmiques.

• Monitoring : Mettre en place et suivre les indicateurs de performance des modèles en production (Drift detection, MLflow).

CE QUE TU APPORTES

• Tu prépares un diplôme de niveau Master (École d'Ingénieur ou Université) avec une spécialisation en Data Science ou Machine Learning.

• Tu as une première expérience (projet académique ou stage) en manipulation de données et modélisation.
• Tu es reconnu·e pour ta curiosité technique, ton esprit d'analyse et ton envie d'apprendre au sein d'un environnement technologique de pointe.

STACK TECHNIQUE

• Langages : Python (expert), SQL.
• ML/Ops : MLflow, Docker, Kubernetes, CI/CD (exemple : GitHub Actions).
• Data : Spark, Pandas, Scikit-learn, PyTorch/TensorFlow.

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Notre Creative Studio recherche un·e Lead Email Developer (f/m/d) basé·e à Lille.

Après avoir déployé un système modulaire dans plus de 70 pays, notre défi pour 2026 est de migrer vers un modèle drag-and-drop "in-house" pour simplifier l'expérience utilisateur à l'extrême. Nous embauchons pour porter cette vision Inner Source et permettre à chaque coéquipier de créer des emails hyper-personnalisés en un temps record. Rejoins une équipe passionnée où le partage de connaissances et l'innovation technologique sont nos rituels quotidiens.

TA FUTURE CONTRIBUTION

En tant que pilier technique de l'équipe, tu seras responsable de l'évolution de notre plateforme (plus de 100 messages internationalisés et 200 blocs d’hyper-personnalisation). Ton rôle est de rendre nos outils accessibles à tous·tes les utilisateur·ices, quel que soit leur niveau technique.

• Tactique & Delivery : Transformer les besoins business en roadmaps techniques en binôme avec le Product Management.
• Architecture & Résilience : Concevoir un Email Design System capable d'encaisser 1 million d'envois quotidiens avec une robustesse à toute épreuve.
• Jeu collectif : Agir comme un "multiplicateur technique" en coachant les squads de développeurs partenaires via des revues de code et du mentorat.
• Excellence du Geste : Garantir la qualité logicielle (Atomic Design, Clean Code) et superviser l'implémentation du BDD pour des déploiements sans faute.
• Culture DevSecOps : Piloter les déploiements via des pipelines CI/CD optimisés et renforcer l'observabilité (monitoring/alerting).

Stack Technique

Decathlon est une organisation mondiale avec des hubs à Amsterdam, Paris, Lille et Nantes, proposant des solutions digitales pour 70 pays. Pour gagner ce match, voici ton "sac de sport" technologique :

• Email Framework : Framework Maizzle (basé sur tailwind) boosté aux stéroïdes (pour une agilité maximale).
• Email Templating : Salesforce Marketing Cloud (AMPScript, SSJS) "superchargé" par nos propres librairies maison.
• Langages de prédilection : HTML, CSS, TypeScript, Bash, Python.
• Outillage Full-Stack : Frontends basés sur React et Next.js, Backends et CLI reposant sur NestJs.
• Persistence & Data : PostgreSQL, Redis.
• Observabilité : Datadog pour ne rien laisser passer.
• Cloud & Infrastructure : GCP, Aiven, Docker, Kubernetes (K8S), Flux (GitOps).
• Qualité & CI/CD : GitHub, GitHub Actions, SonarCloud, Cucumber, Gherkin, Playwright.
• Jeu collectif : Slack, Google Suite, Confluence, Jira.

CE QUE TU APPORTES

• Expérience Terrain : Plus de 5 ans d'expérience en tant qu'Email Developer dans un contexte CRM international. Tu as déjà performé sur Salesforce Marketing Cloud ou un ESP de même envergure.
• Maîtrise du Geste : Expert·e en Atomic Design et en composition de blocs. Tu sais jouer avec TypeScript pour moduler ton code et créer des composants réutilisables à l'infini.
• Vision Tactique : Une capacité hors pair pour orchestrer des parcours emails automatisés à grande échelle via un ESP.
• Esprit "You build it, you run it" : Pour toi, la responsabilité ne s'arrête pas au coup de sifflet final. Tu assures le monitoring, l'alerting et l'analyse d'incidents (RCA) avec un Operational Mindset d'acier.
• Excellence Technique : Adepte de l'entraînement rigoureux, tu maîtrises la CI/CD, le TDD/BDD et toutes les couches de tests (Unitaires, Intégration, Charge).
• Capitaine de Jeu : Tu sais driver des projets transverses et faire monter l'équipe en compétences grâce à des revues de code exigeantes et bienveillantes.

Les "Game Changers" (Le petit plus qui fait la différence)

• Infrastructure & Cloud : Tu es à l'aise avec Kubernetes, Terraform et GCP pour garantir une scalabilité mondiale.
• Profil Multi-sport (Full-Stack) : Tu maîtrises le Front et le Back (Hexagonal Architecture, Clean Code) sur au moins un framework mainstream.
• Culture Data : Tu as un intérêt marqué pour la Data Stack. Car tu le sais : pas de data, pas de personnalisation, pas de victoire !

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille, Paris ou Amsterdam ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

As a Fullstack Engineer, you will join our core Engineering team to build complete designs for applications and features that deliver direct value to our customers. You will solve complex technical challenges by working within your squad and collaborating across the organization with Data Scientists, QA, and Product Managers. Your focus will be on delivering high-performance, scalable, and quality solutions that modernize our platform. This role is essential for driving the technical migrations and architectural improvements that power Shift’s mission.

What Your Impact Looks Like

At Shift, we value ownership from day one. In this role, you will:

• Jump In & Own It: 
• Take full ownership of technical tasks and resolve delivery blockers promptly without waiting for direction.
• Design and implement intuitive user interfaces to collect and review information.
• Build and maintain robust APIs that automate decision-making processes.
• Simplify the Complex: Design, write and test (from unit to end-to-end) clear, clean, well-structured C# and React code that is easy for others to maintain. 
• Test, Learn, Scale: 
• Contribute to technical migrations, modernization efforts, and architectural improvements as our platforms evolve.
• Experiment with new frameworks and use retrospectives to identify opportunities to improve delivery speed and quality.
• Communicate with Impact: Share progress and technical trade-offs clearly during stand-ups, adapting the detail for both peers and stakeholders.
• Solve Without Drama: Address production incidents and bugs calmly and methodically, focusing on root causes and long-term solutions.
• Finish what you start: Demonstrate reliability by validating that all code meets user needs and is fully documented before moving to new work.

We work with modern technologies and always encourage our team to explore what’s new in the market. Our main tools are:

• Frontend: React/Redux/TS/Vanilla Extract/LESS/Dev Container with Vite
• Backend: ASP.NET, C#, MSSQL, Elasticsearch
• IDE: your choice - Rider, VS Code, or Visual Studio + Resharper
• Cloud: Microsoft Azure
• Foundational toolchain: GitHub Enterprise, GHAS, GH Copilot + coding agent
• CI/CD: GitHub Actions / TeamCity, Cypress, GH Packages (npm, NuGet), Octopus
• Collaboration: Slack, Jira, Confluence

What You'll Need to Succeed

We are looking for a Shifter who is:

• C# Expert: You have 2 to 6 years of experience in software development with a deep, production-level mastery of C# and .NET.
• Fullstack-Capable: You are comfortable across the stack and have hands-on experience with React or modern JavaScript frameworks.
• Architecturally Minded: You don’t just write code; you design scalable, maintainable systems and write clean, testable logic.
• Growth-Oriented: You have a test-and-learn mindset, actively exploring new tools and frameworks to improve performance and quality.
• Impact-Driven: You focus on outcomes over output, taking full ownership of your tasks from initial design to production monitoring.
• Collaborative & Clear: You are a fluent English speaker who can explain technical trade-offs simply and partner effectively with cross-functional squads.

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

🧰 Qui sommes-nous ?

🚀 À propos de l’équipe

🎯 Ta mission

✏️ Ce sur quoi tu travailleras

🔐 Développement des pipelines de sécurité

🔄 Shift-left security

📊 Visibilité & monitoring de la sécurité

🤝 Collaboration transverse

🧠 Ce que tu apportes

Indispensable

• Tu es actuellement en Master, en école d’ingénieur, ou dans une formation équivalente en informatique, cybersécurité, ou domaine connexe
• Tu es éligible à un contrat d’alternance
• Tu as des bases solides sur des concepts de sécurité comme : l’OWASP Top 10; la gestion des vulnérabilités; les principes de développement sécurisé.
• Tu es à l’aise avec au moins un langage de scripting ou de programmation comme Python, Bash, Go ou équivalent
• Tu es curieux(se), autonome, et tu as une vraie appétence pour la construction de systèmes sécurisés
• Tu disposes de bonnes capacités de communication et es à l’aise avec des interlocuteurs techniques comme non techniques

Ce qui serait un plus

• Aux outils de CI/CD comme GitHub Actions ou Azure DevOps
• À des outils de scanning de sécurité comme SonarQube, Trivy, Snyk ou OWASP ZAP
• À la conteneurisation (Docker, Kubernetes) ou à l’Infrastructure as Code (Terraform, Ansible)
• À des plateformes cloud comme AWS, Azure ou GCP et à leurs services de sécurité
• À des outils de monitoring / observabilité
• À un projet perso ou académique en lien avec la sécurité, le DevOps ou l’automatisation

✨ Qui es-tu ?

• Passionné(e) par les sujets à l’intersection de la sécurité, du développement logiciel et des opérations
• Curieux(se) et motivé(e) à apprendre dans un environnement technique exigeant et rapide
• À l’aise avec l’autonomie et la prise d’initiative
• Rigoureux(se) et attentif(ve) aux détails, en particulier sur les sujets liés à la sécurité
• Envie de collaborer, de partager tes connaissances, et de contribuer à une équipe soudée
• Motivé(e) par des défis techniques concrets et à fort impact

✨ 🤖 Mindset IA & Digital

• Utiliser au quotidien des outils modernes d’ingénierie et de sécurité
• Automatiser les tâches répétitives et améliorer l’efficacité des contrôles et du reporting de sécurité
• Explorer comment l’IA et l’automatisation intelligente peuvent aider sur des sujets comme le tri des vulnérabilités, l’analyse des alertes, l’assistance au développement sécurisé ou la documentation
• Contribuer à un modèle de sécurité plus developer-friendly, plus data-driven et plus scalable

🌟 Ce que tu vas apprendre

• DevSecOps, à travers la mise en œuvre réelle d’une approche shift-left dans des pipelines d’entreprise
• Cloud & Infrastructure, avec des outils modernes et des architectures cloud-native
• Outils de sécurité, via l’usage concret de solutions SAST, DAST et SCA
• Compétences professionnelles, comme les méthodes Agile, la collaboration transverse et la communication technique
• Insurance Tech, en découvrant la plateforme d’assurance digitale de Wakam et ses enjeux spécifiques

🌟 Pourquoi rejoindre Wakam ?

• 🎯 Avoir un vrai niveau d’ownership, avec un travail qui améliore directement la sécurité des applications Wakam
• 🚀 Contribuer à un sujet stratégique pour l’entreprise, au cœur de notre feuille de route 2026
• 🧑‍🏫 Bénéficier d’un tuteur dédié, attentif à l’alignement entre tes missions et tes objectifs académiques
• 🌍 Évoluer dans un environnement moderne, international, avec une forte culture engineering
• 💼 Ouvrir la voie à une potentielle opportunité à long terme à l’issue de ton alternance

Please note that this position is based in Berlin, London or Paris — relocation support is provided if required. 

THE BEST WORK OF YOUR CAREER  

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over €150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU’LL BE DOING

Trade Republic is known for shipping fast and strong, and at the core of this is Platform Engineering providing robust and scalable self-service platforms to enable our product engineers to deliver. Moving into the direction of golden paths, self service, and autonomy. We encapsulate complexity and deliver scalable solutions that empower millions of users to invest, trade, and save billions of euros.

• Build the platform: Build in-house provisioning and lifecycle management services in Go—from just-in-time provisioning to hands-off retirement—while integrating directly with underlying infrastructure endpoints and surfacing golden-path templates in our IDP.
• Accelerate developer feedback loops: Empower teams to spin up production services in minutes, instrument key developer metrics, and channel those insights back into the platform—cutting cycle times and enabling product engineers to ship great features faster.
• Engineer for resilience at scale: Define and monitor SLOs, burn-rates, and error budgets for every platform service. Continuously improve our platform product through functional and non functional testing. Lead blameless post-incident reviews and automate safety guardrails.
• Own the platform: Shape the roadmap end-to-end—work with product managers to understand user needs, balance cost, latency, and developer experience, pick the right tech, and clearly explain trade-offs to leadership.
  
  

WHAT WE'RE LOOKING FOR

• 3+ years building backend or platform services in Go.
• Cloud-native in your DNA: hands-on with Kubernetes, Helm, Terraform, and experienced running production workloads on AWS, GCP, or another public cloud.
• A passion for designing simple APIs for complex infrastructure.
• Proven ability to make distributed systems reliable under real‑world traffic.
• Demonstrated ability to turn best practices into opinionated “paved roads” that make doing the right thing effortless.
• Clear, concise English communication.
  
  

The toolbox we use (and you probably know): Go, Kubernetes (EKS), Karpenter, ArgoCD, AWS, Terraform, Backstage, GitHub Actions, Prometheus, Loki, Grafana. Experience with every single item is not required—bring your strengths and curiosity.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

Please note that the positions are based in Paris, France — relocation and visa support is provided if required. 

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe — we operate in 18 countries, serving +10 million customers who trust us with over €150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU’LL BE DOING

• Build and test services and products using modern tools from the JVM ecosystem such as Kotlin, Spring and Vert.x, Hibernate or jOOQ.
• Design cloud services focusing on high availability, low latency and scalability (on top of AWS).
• Implement automated software delivery using GitHub Actions, container-based CI/CD pipelines, and Kubernetes orchestration.

WHAT WE'RE LOOKING FOR

• At least 5 years of experience in software engineering (preferably in JVM ecosystem).
  • We are hiring from mid to staff level, so whether you have a few years of experience and are ready for more ownership or you have been leading complex systems for many years, we would love to hear from you.
• Experience with developed and shipped scalable features within a service oriented architecture.
• A strong commitment to delivering reliable and maintainable software using an iterative development approach and continuous delivery.
• Experience with building platform services that act as a foundation and accelerator for product development (prior experience in platform/foundations-focused teams is a plus). 
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable — we’re here to win and fix one of the largest challenges Europeans face — closing the pension gap and democratising wealth. If this gets you fired up, reach out!

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +8 million customers who trusted us with over 105B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state-of-the-art technology to build a lasting, positive future for millions. 

WHAT YOU'LL BE DOING

• Own the mobile testing platform: frameworks, pipelines, device labs, test data.
• Set the lean testing strategy and quality gates to ship faster with confidence.
• Drive speed and reliability: parallelization, sharding, caching; detect, quarantine, and deflake.
• Build signal and visibility: dashboards, coverage insights, flaky heatmaps, release confidence.
• Enable teams to self-serve quality: runbooks, standards, audits, coaching without central QA.

WHAT WE'RE LOOKING FOR

• 3+ years in mobile test automation/quality engineering for Android and/or iOS at scale.
• Deep experience with Espresso/XCTest 
• Hands‑on CI/CD for mobile tests & release pipelines (Github Actions, Kubernetes, Gradle/AGP, xcodebuild, orchestration).
• Strong Kotlin or Swift skills; able to debug across UI, network, storage, concurrency.
• Excellent communication and cross‑team influence.
• Deep knowledge of one cross‑platform tool (Appium/Detox/Maestro) is a huge bonus.
• Device lab fluency (emulators/simulators, Firebase Test
  Lab/BrowserStack/Sauce/AWS) is a huge bonus 

MOBILE TEST AUTOMATION TECH STACK

• Android: Espresso, JUnit, UI Automator; Gradle, AGP, Marathon.
• iOS: XCTest, XCUITest; xcodebuild/xctest.
• CI/CD: GitHub Actions; Kubernetes; Maestro; caching/sharding; artifact mgmt.
• Quality tooling: Allure TestOps, Danger, SonarQube, Detekt/Ktlint, SwiftLint
• Observability: Crashlytics/Sentry, OpenTelemetry

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratizing wealth. If this gets you fired up, reach out!

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs

Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents

ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output
  
  

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

What you’ll do

Data Governance at Doctolib ensures that the data powering our healthcare decisions — across 900,000+ professionals and 90M+ patients — is discoverable, reliable, and governed by design. As Doctolib builds Europe's reference platform for healthcare AI, governance isn't a compliance checkbox: it's the transversal foundation that makes trustworthy analytics and AI possible at scale.

You'll join the Data Governance team, reporting to the Data Governance Lead, and contribute to two interconnected streams — with AI & Automation as the driving force, and the Data Catalog as its primary application ground. You won't be navigating this alone: Diana (Data Governance Lead) and Zahra (Data Governance Engineer) will be your day-to-day partners.

1. Scale Data Governance with AI

Your goal: make governance measurable, gamified, and increasingly AI-driven — using engineering-grade tools (Python, Dagster, GitHub Actions) to build automations that scale — so data owners across every function stay engaged with standards and Doctolib's data stays high-value and well-protected.

• Contribute to AI-assisted governance workflows : from building an automated audit agent (e.g. via Claude Code) to auto-tag data assets, to leveraging tools like NotebookLM to generate one-pagers and videos that make governance policies land with any stakeholder
• Own Data Governance KPIs and dashboards (Metabase) to drive gamified governance: track policy adoption, quantify the team's impact, and keep the metrics that incentivize data owners and influence governance standards company-wide.
• Simplify complexity every day by supporting cross-functional stakeholders on Data Governance topics, communicating policies and best practices across the organization, and delivering impactful internal presentations

2. Drive Doctolib's data catalog product management

Your goal: any Doctoliber — from Sales to Finance to Tech & Product — can find the right data asset in under 2 minutes, with full confidence.

• Maintain the catalog as a real-time, end-to-end reflection of our data value chain: from production sources (Doctolib products, Salesforce, Zuora) to consumption in AI and analytics tools (Tableau, Metabase), in close collaboration with the Data Governance Engineer and catalog vendor.
• Run frequent user research and analyze usage metrics to prioritize the catalog roadmap and backlog
• Drive catalog integration into Doctolib AI tools and promote adoption across all personas — success target: 200+ Monthly Active Users, with AI tool integrations via Catalog MCP as the primary adoption lever

Who You Are

You could be our next teammate if you are:

• A Master's Degree student looking for a 1-year or 2-year apprenticeship starting September 2026 at the latest
• Fluent in English and French (both written and spoken)
• Comfortable navigating technical environments: you can read SQL queries to understand the scope of a data governance issue, dig into documentation, and use AI tools like Claude (Code, Cowork) and available MCPs as both a key enabler and a daily thinking partner.
• Not intimidated by engineering-grade tools: you won't write production code, but you'll use Python scripts, Dagster and GitHub Actions to build and maintain automations.
• An excellent team player with strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
• Interested in working in a transversal, fast-moving environment where functional and technical boundaries aren't always clear-cut — you enjoy mapping complexity rather than avoiding it.
• Eager to deepen your data knowledge gained from previous experiences, whether with a technical or a functional focus (both are a plus)

Now, it would be fantastic if you are:

• Familiar with data visualization tools and able to create clear, insightful dashboards
• Able to quickly understand stakeholder needs, identify challenges, and effectively prioritize competing tasks
• Already experienced with data catalogs (e.g. Coalesce Catalog, Atlan, Alation) or data visualization tools like Tableau or Metabase
• Interested in or with first exposure to product management practices (user research, roadmap prioritization, backlog management)
• Demonstrating flexibility and adaptability when facing new challenges or changing requirements

If you don't meet all the requirements above but believe this opportunity matches your expectations and experience, we still encourage you to apply!

Please note that the Data Governance team has the particularity of having very diverse profiles, with some team members who are not technical at all. What matters is your ability to understand technical constraints, not to apply them.

To prove that you are a real human genuinely interested in this opportunity, please include the word "Magikarp" in your application.

The interview process

• Recruiter interview (30 minutes)
• Operational interview with the hiring manager and current apprentice (1h15 to 1h30) — includes a 5–10 min live demo where you walk us through an AI-powered automation you've built (even something small or personal): what it does, how you approached it, and what's under the hood.
• Final interview with the Head of Data Governance (20 minutes)
• Offer!

Job details

• 1-year or 2-year apprenticeship
• Apprenticeship pace:
• Ideally: 4 days at Doctolib, 1 day at school per week provided that the day at school is never a Tuesday nor Wednesday
• Possible: 3 weeks at Doctolib, 1 week at school
• Workplace :
• 54 Quai Charles Pasqua, 92300 Levallois-Perret
• 3 days on-site per week (Tuesdays, Wednesdays mandatory)
• Start date : early September 2026 at latest
• Remuneration: According to profile
  
  

Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here. If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.

At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.

Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.

As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.

With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.

Alma is the company for you if are looking for:

Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.

To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.

About the job

We are looking for a Data Engineer to join our Data team and help us build a scalable, reliable, and analyst-friendly data platform.

In this role, you will report to the Head of Data and work alongside another Data Engineer within a broader data community composed of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and 5 people in the AI team. Your mission will be to strengthen the foundations of our platform while making life easier for analysts and business users across Alma.

Your missions

As a Data Engineer at Alma, your role will be to help design and improve a scalable, reliable, and secure data platform.

Your goal will not only be to build robust pipelines and infrastructure, but also to create the best possible development environment for analysts and data practitioners. This role has strong leverage because the work you do will directly improve how the wider data community ships, documents, governs, and uses data every day.

What you will do

You will contribute across platform, infrastructure, governance, and enablement topics. In particular, you will:

• Build, maintain, and improve our data warehouse and transformation layer
• Develop reliable and performant ingestion processes from internal databases and external tools into our warehouse
• Improve deployment and engineering practices across the data stack, especially around CI/CD and staging environments
• Strengthen infrastructure-as-code practices and ownership through Terraform
• Improve access management and governance across our GCP environment and analytics tooling
• Work on observability, documentation, lineage, and overall platform reliability
• Partner closely with Data Analysts, Business Analysts, Product teams, and the AI team to understand their needs and remove friction from their day-to-day work
• Share knowledge, document decisions, and contribute to raising engineering standards across the team

Our stack

Our current data stack includes:

• Google Cloud Platform
• BigQuery
• PostgreSQL / Cloud SQL
• dbt (including dbt docs, Elementary, Colibri)
• Airbyte
• Argo
• Terraform
• GitHub Actions
• Looker & Metabase
• Python

What we are looking for

We are looking for someone who combines strong technical fundamentals with a collaborative way of working.

You might be a great fit if:

• You have 3+ years of experience as a Data Engineer, ideally in a fast-growing tech environment
• You have hands-on experience building and maintaining modern data platforms and orchestration workflows
• You are comfortable working with cloud infrastructure, infrastructure as code and SQL-based transformations
• You care about reliability, maintainability, documentation, and good developer experience
• You are able to take ownership of projects from problem framing to delivery
• You are comfortable communicating in English

Interview process

Our interview process typically includes:

• A video call with our HR team
• Hiring manager interview
• A technical discussion with a Data Engineer and a Data Analyst
• A video call with the Head of Data and a Data Analyst

OUR VALUES

• Raise the bar
• Do the right thing
• Test, Learn, Repeat
• Make it happen
• Lead with humility

DIVERSITY & INCLUSION

At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.

As an equal opportunities employer we make sure the application process and our workplace is for everyone.

Why this role

As our Director of Infrastructure platform, you will be a key driver of Doctolib’s technical transformation. You’ll lead our move from a monolithic architecture to a modular, multi-service environment, enabling both product velocity and operational excellence at scale.  

You will own our platform as a product mindset, fostering team autonomy while ensuring cost-efficiency, reliability, and security. Overseeing a team of 30+ engineers (Infrastructure & Automation), your leadership will directly impact the daily experience of 120+ feature teams, +700  engineers, and the care journey of millions of patients and healthcare professionals. 
This is a rare chance to shape the platform for Europe's healthcare future. You'll work with talented engineers, solve complex distributed systems problems, and make technology decisions that directly improve healthcare for millions.

Why this is an extraordinary challenge

• Engineering the foundation for 5x growth: We're transforming Europe's leading healthcare platform - serving 420,000+ HCPs and 90M patients - from monolith to modular architecture. This isn't just technical refactoring; it's enabling Doctolib to scale to new countries, multiple medical specialties, and new product verticals while maintaining mission-critical reliability for millions of care journeys daily.
• Velocity as a competitive advantage: Our 2026 ambition is to innovate 50% faster while drastically reducing incidents and driving healthcare professional satisfaction.To get there, we must transform platform capabilities from bottleneck to accelerator - enabling 100+ feature teams to ship independently, safely, and at pace. The business impact is direct: faster innovation cycles translate to better patient access, higher practitioner satisfaction, and competitive differentiation in a rapidly evolving market.
• Building true platform-as-a-product: We're pivoting from "platform-as-support" to "platform-as-product" to unlock team autonomy at scale. Your mission is to build the developer platform that makes self-service the path of least resistance - dramatically improving developer experience while reducing platform operational load. This is about creating leverage: every platform improvement multiplies across the entire engineering organization.
• Quality transformation under growth pressure: We must simultaneously deliver world-class reliability (99.99% availability) while supporting aggressive expansion - new countries, AI-powered products, and the most comprehensive healthcare platform in Europe. This requires architecting for modularity, security, and cost-efficiency from day one, plus building an industry-leading incident management culture. The stakes are real: every minute of downtime affects thousands of appointments and the continuity of care.

What you'll do

• Lead and scale a high-performing infrastructure organization of 30+ engineers across Infrastructure, Automation, SRE, and Database teams, while maintaining strong engagement and fostering a culture of excellence and ownership
• Own the infrastructure platform strategy and roadmap that enables Doctolib's modularization journey, delivers on company OKRs, and ensures predictable execution across all infrastructure and automation initiatives
• Champion platform-as-a-product by building self-service capabilities (infrastructure provisioning, CI/CD, observability, database management) that transform developer experience and unlock team autonomy across the engineering organization
• Be the guardian of quality and reliability by establishing world-class incident management, driving measurable improvements in availability and performance, and ensuring infrastructure components operate at the highest standards of security and resilience. 
• Accelerate engineering velocity by reducing platform friction, enabling faster modularization, and leveraging AI-augmented development tools to multiply productivity across feature teams
• Drive the infrastructure transformation from monolith-supporting infrastructure to a modular, multi-service platform architecture - enabling international expansion, product velocity, and operational excellence at scale
• Act as a senior technical leader within the Platform organization and broader Tech leadership team, bringing strong technical opinions and challenging architectural decisions while clearly articulating how infrastructure investments contribute to company strategy and business outcomes

Who you are

• 12+ years in software engineering, including 6+ years leading large (30+) distributed, international platform or infrastructure teams.
• Proven experience driving platform-as-a-product transformations and modularizing large monolithic architectures at scale.
• Demonstrated ability to architect, deliver, and operate secure, reliable, and scalable developer platforms in SaaS, multi-product, or regulated environments.
• Strong process orientation: experience implementing OKRs, robust monitoring/observability, and best-in-class incident management.
• Measurable impact on developer productivity, platform adoption, reliability, and cost-efficiency.
• Effective communicator and influencer, with the ability to align and inspire cross-functional stakeholders.
• Experience leading change and building high-performing, people-first engineering cultures.
• Fluent in English and comfortable in fast-paced, international environments.

Bonus Points If You Have…

• Experience in healthcare, regulated, or high-compliance industries.
• Familiarity with our stack: Ruby on Rails, Node.js, Go, Python, React, AWS, GCP, Kubernetes, PostgreSQL, Kafka, Datadog, GitHub Actions.
• French language proficiency.
• Experience with AI-augmented developer tools, data mesh, or open-source contributions.
• M&A or post-acquisition integration experience

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: receive additional leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class 
• Lunch voucher with Swile card

Build the Core Platforms That serves hundreds Engineers

Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.

We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.

We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.

What will you do?

What will you bring to the team?

We care about you

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!

Please submit your CV in English.

#LI-Hybrid

What you'll do

• Collaborating with Feature teams: You will work closely with our Feature teams, ensuring that the services align with the needs and requirements of our developers
• Driving improvements: You will continuously evaluate new technologies and processes, striving for enhancements, and implementing them as necessary to optimize our development practices
• Defining best practices: You will be responsible for defining best practices, known as "golden paths," for software development and deployment. This includes automation, testing, and security measures, in collaboration with our SREs, Security teams, and other domain experts
• Developing and maintaining tools and services: You will create and maintain tools and services that facilitate the implementation of best practices. These resources will assist developers in building and deploying applications more efficiently
• Ensuring reliability, scalability, traceability, and monitoring: You will play a vital role in ensuring the reliability, scalability, traceability, and monitoring of our services and infrastructure
• Collaborating on roadmap delivery: You will actively contribute to the delivery of roadmap items, working closely with the rest of the team to achieve our collective goals

Who you are

• You have at least 5+ years of site reliability engineering experience, including experience with AWS, Terraform, Kubernetes, GitHub Actions supporting applications deployment developed on the JVM and/or TypeScript
• You are proactive, curious, collaborative and eager to learn
• You have proven experience with cloud services such as AWS, Azure or Google Cloud
• You have a solid understanding of containerization and orchestration technologies (Docker and Kubernetes)
• You have proficiency in at least one programming language (Go, Java, Ruby, Python etc.) and a deep understanding of infrastructure as code principles

• Have experience with test frameworks such as Junit, Jest, Vitest, Playwright and/or Capybara and different test tools such as PACT for contract testing, Gatling for load testing
• Have experience with Datadog, Sonarqube and/or Backstage
• Have experience in managing a multi service environment
• Are opinionated about what the best developer experience looks like
• Consider Developers as your "customers"

What we offer

• Free Health Insurance for you
• Up to 14 days of RTT
• A flexible workplace policy offering both hybrid and office-based modes
• Flexibility days allowing to work in EU countries and the UK 10 days per year
• Wellbeing program with free mental health and coaching through moka.care
• Special support package for caregivers and workers with disabilities
• Lunch voucher with Swile card
• Work Council subsidy for sport club membership or creative activities
• Bicycle subsidy
• Public transportation reimbursement
• Relocation support for international mobility

Interview process

• Tech Recruiter interview
• Technical SRE interview
• System Design interview
• Behavioral interview
• Background / Reference check
• Offer!

Job details

• Contract: Permanent position
• Workplace: Paris 
• Start date: As soon as possible
• Remuneration: Competitive salary package according to your profile

Notre Cybersecurity Team recherche un·e Tech Lead Engineer basé·e à Lille ou Paris

L'équipe Cybersécurité Decathlon assure la protection et la sécurisation de l’ensemble du groupe : elle pilote la stratégie de gouvernance et les processus de gestion du risque, s’assure de la conformité de nos systèmes d’information, définit les moyens techniques nécessaires à la détection et à la réponse aux incidents, ainsi que les moyens de contrôle associés.

La Sécurité de l’Information est un axe phare de Decathlon. La protection des données de nos clients, de nos collaborateurs et de notre image de marque est notre priorité. Avec l’aide d’une structure de gouvernance sécurité initiée il y a 4 ans, nous souhaitons accélérer certains projets pour accompagner notre transformation digitale.

A ce titre, nous recherchons notre prochain·e Application Security Engineer, intégré·e à notre équipe Security Engineering. La mission de l’équipe est de sécuriser le cycle de vie des applications, du code (SAST / SCA), au Cloud (CNAPP / CSPM / CWPP), jusqu’à son exposition sur internet (WAF / External Exposure) en aidant à définir les gouvernance, en améliorant les process existants et en mettant en place les outils nécessaires 

TA FUTURE CONTRIBUTION 

En tant que Tech Lead, tu seras le moteur de l'équipe et un·e référent·e technique. Tes principales responsabilités seront :

• Challenger l’équipe : remettre en question les choix techniques de l’équipe Security Engineering et contribuer avec eux à la mise en place des initiatives stratégiques
• Animation d'équipe et stratégie : animer l'équipe au quotidien, définir les priorités et allouer les ressources, en lien avec la stratégie globale de l'entreprise et la feuille de route cyber
• Gestion des projets (RUN et BUILD) : suivre les tickets et projets via Jira, assurer l’avancement des initiatives stratégiques (BUILD) et veiller à la bonne exécution des activités opérationnelles (RUN)
• Partage et communication : documenter et partager les bonnes pratiques de sécurité, et être le·la référent·e pour les autres équipes
• Contribution stratégique : participer à un éventail d’initiatives cyber plus larges, au-delà de la sécurité applicative, notamment la sécurité Cloud et la gestion des assets exposés sur internet

STACK TECHNIQUE  

• Cloud public : AWS / GCP
• CI/CD : GitHub
• Security tooling – code : Snyk (SAST / SCA) et Wiz Code (PoC)
• Security tooling – cloud : CNAPP (Wiz)
• Security tooling – exposure management : Cloudflare / Wiz
• Infrastructure as Code : Terraform
• API Management
• Protocoles d’authentification et d’autorisation : SAML, OAuth2.0, OIDC, …
• Outils de collaboration : Slack, Google Workspace, Confluence, Jira

CE QUE TU APPORTES

• Solide expérience en développement logiciel, sécurité (SAST/SCA), SDLC, pipelines CI/CD, conteneurs et environnements Cloud (AWS, GCP). Maîtrise des protocoles d’authentification (OAuth2/OIDC) et de la gestion des API.
• Expérience dans l'animation d'équipe, l’organisation du travail (Jira) et la définition d’une stratégie technique. Orienté·e résultats avec une approche pragmatique centrée sur la gestion des risques.
• Excellentes capacités de communication et de collaboration, résolution de problèmes complexes, capacité à coder et corriger du code, et à vulgariser des concepts techniques.
• Maîtrise de l’anglais pour collaborer efficacement avec des équipes internationales.

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille ou Paris ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

Join our mission, join Doctolib!

We are looking for an Engineering Manager to join Doctolib's Automation Platform (AUTOP) team, which empowers all Doctolib engineers to build, test, and deploy software with confidence and speed.

Part of the Platform organization, Autop’s mission is to build and maintain the automation infrastructure and developer tools that enable our engineering teams to deliver high-quality software efficiently. Every feature shipped at Doctolib — from appointment booking to teleconsultation to AI-powered clinical tools — flows through AUTOP's automation infrastructure. We're the platform behind the platform. When product teams ship faster, safer, and with more confidence, it's because AUTOP built the rails they run on.

AUTOP (Automation Platform) is responsible for critical developer-facing systems including: CI/CD automation, testing infrastructure (unit, integration, E2E, contract, visual regression), local and ephemeral development environments, release management, dependency management, and developer productivity tooling. 

What you will do

As the Engineering Manager for AUTOP, your responsibilities include, but are not limited to:

People leadership

• Build and lead a high-performing team of 6-10 engineers who are passionate about developer productivity
• Create a culture where engineers own outcomes, not tasks — where platform adoption and developer satisfaction are the north stars
• Recruit, mentor, and retain top platform engineering talent in a competitive market
• Conduct impactful 1:1s, performance reviews, and career development conversations that help engineers reach their full potential

Technical Strategy & Execution

• Define and drive the technical vision for your team's domain (CI/CD, testing infrastructure, developer environments, or release automation)
• Make high-impact technical decisions that balance short-term delivery with long-term sustainability and scale
• Set the bar for automation, quality, reliability, and security — your systems must be highly reliable because 600 engineers+ depending on them daily
• Champion a "Platform as a Product" mindset: treat internal developers as customers, measure adoption and satisfaction, iterate based on feedback
• Partner strategically with product teams, Infrastructure Platform, and Applicative Platform to solve cross-cutting challenges
• Drive measurable improvements in developer productivity metrics: build times, deployment frequency, test reliability, time-to-production… supporting Doctolib teams to monitor their metrics (DORA, performance, costs, etc).

Impact & Influence

• Be a visible technical leader across the organization — your team's work enables everyone else's success
• Influence engineering culture: establish best practices, contribute to technical strategy beyond your team
• Navigate ambiguity and lead through influence, not authority — platform adoption requires trust and advocacy, not mandates

About our tech environment

• Our automation platform supports a hybrid architecture: a large Ruby on Rails monolith and an expanding ecosystem of modern microservices (Java, Kotlin, TypeScript)
• We maintain sophisticated CI/CD pipelines using GitHub Actions, testing frameworks across multiple languages, and infrastructure-as-code solutions
• Our systems handle thousands of CI builds daily, manage comprehensive test suites across multiple languages, and manage deployments across multiple environments for 200+ development teams
• Our stack includes: Ruby, Java, Kotlin, Go, TypeScript, Docker, Kubernetes, GitHub Actions, Terraform, and various testing frameworks
• We intentionally leverage AI to improve developer productivity and reliability, in a sustainable manner .

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• 6+ years of software engineering and 3+ years managing technical teams — you have a proven experience and know what great engineering looks like
• Deep platform engineering expertise: CI/CD, developer tooling, automation, testing infrastructure, or internal platforms
• Track record of building "Platform as a Product" — you've driven adoption, measured impact, and iterated based on developer feedback
• Fluent in English and comfortable influencing across a multi-country organization
• Strong stakeholder management — you can influence without authority, build coalitions, and navigate complex organizational dynamics
• Proven ability to balance technical depth with people leadership — you can code-review a Terraform module and coach a report through a difficult conversation

Now it would be fantastic if you:

• Are passionate about developer experience and understand what makes engineers productive and happy
• Have an entrepreneurial mindset — comfortable with ambiguity, fast iteration, and building the plane while flying it
• Have experience managing distributed or remote teams across time zones
• Have background in healthcare, regulated industries, or mission-critical systems where reliability and security are non-negotiable

What we offer

• Free health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from abroad for up to 10 days per year, thanks to our flexibility days policy
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• Lunch voucher with Swile card

The interview process

• Recruiter Interview
• Technical Leadership Interview (architecture, technical decision-making)
• Management & Leadership Interview (people management, team building, stakeholder management)
• Behavioral Interview
• At least one reference check

Job Details

• Permanent Position
• Full-Time
• Levallois-Perret

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! 

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. 

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

• Between 2 and 5 years of experience in software development
• Backend wise, you have solid C# skills - it's a MUST!
• You have some Frontend experience as well - any JS framework works; we work with ReactJS!
• You are a true Fullstack: Frontend is part of your job, as much as Backend!
• Your projects are beautifully designed and cleanly written
• You are dynamic, curious and eager to learn, always looking to expand your fields of expertise
• You are proactive and take ownership of your work
• You want your work to have an impact: rather than a cog, you see yourself as the engine
• Fluency in English

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

We’re hiring a Senior Security Engineer to help shift security left across product and platform teams, while also supporting internal corporate security needs. You’ll drive impact through enablement, automation, and practical risk reduction.

Why this role matters

You’ll secure both what we build and how we work. That means embedding security into our products and CI/CD, and also supporting internal teams.

Security here is not a gate; it’s a force multiplier. You’ll help engineering teams move faster safely, and ensure our colleagues have a secure foundation to do their best work.

Success means faster, safer releases and fewer reactive security escalations.

What will you do?

As a Senior Security Engineer, your mission will be to:

• Partner with developers to embed security into design, build, and deploy stages
• Automate vulnerability triage and mitigation flows
• Secure CI/CD pipelines (GitHub, Jenkins) and execution environments (Kubernetes, Docker)
• Tune WAFs, manage cloud security (AWS, GCP, Azure), and evolve Terraform practices
• Support internal teams with secure production accesses, endpoint hardening, and access policies
• Lead security reviews across app, infra, and corporate environments
• Advocate for security standards with clarity and empathy

You might be a fit if you:

• See security as an enabler of speed, not an obstacle
• Are comfortable in cloud and on-prem worlds
• Value autonomy, and naturally take ownership from idea to execution
• Can zoom out to prioritize risks and zoom in to fix root causes
• Communicate clearly with devs, ops, and business teams alike
• Eager to work in a technically challenging environment

You’ll grow by working with:

• Terraform, Docker, Kubernetes
• Modern security tools
• GitHub Actions, Jenkins
• AWS, Azure, GCP
• Teams building external-facing services (web apps, APIs) and internal platforms (CI/CD, admin tooling) to embed security by design.
• Supporting a public company environment with compliance requirements across multiple standards, including SOC 2 and ISO 27001

Skills that help (we’ll support your growth):

• Application Security: code review, threat modeling, WAF
• CloudSec: IAM, policy-as-code, workload hardening
• On-Prem/Corporate: endpoint protection, monitoring and production access control
• Communication: making risk visible and actionable

The Team Environment

You’ll join a cross-cultural, globally distributed security team that thrives on collaboration, curiosity, and continuous learning. We bring together a wide range of experiences and backgrounds to solve meaningful problems.

We support each other through knowledge sharing sessions, workshops, and async collaboration. You’ll have the chance to attend industry conferences, participate in internal guilds, and continuously sharpen your skills using our dedicated security training platform.

How we work:

• Autonomy with alignment: own your work, stay connected to purpose
• Bias for action: ship, learn, improve
• Enablement mindset: security exists to empower teams, not slow them down
• Simple and pragmatic: perfect is the enemy of shipped

Build the Core Platforms That serves hundreds Engineers

Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.

We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.

We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.

What will you do?

What will you bring to the team?

We care about you

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!

Please submit your CV in English.

#LI-Hybrid

Algolia is set to enable every company to create world-class Search and Discovery experiences with an API-first approach. Performance and Scalability is at the heart of our mission: we power 1.5 trillion searches a year, for 10K+ customers all over the world. 

If you're a problem solver, able to think outside the box and eager to nurture others and learn from them, then this is your challenge!

The Team

The Fleet team is a Site Reliability Engineering team focusing on one goal: the Search products should always be available. To make this possible, the Fleet team creates pragmatic solutions to optimize the Search products availability and costs at scale, taking into account the needs of customers, the product teams, and the many engineering teams involved in delivering a unique Search Experience to our customers.

The Opportunity

The team is looking for an individual who has a first experience of building and operating scalable architectures. You will contribute to the delivery of solutions that support other engineering teams and will have a direct impact on the success of Algolia's Search products. 

In this role, you'll help design and implement systems focused on reliability, scalability, and cost efficiency, while also having opportunities to grow your skills and collaborate with team members.

Your role will include

• Operating the Search products, building self-healing and automated incident response mechanisms
• Building components that improve reliability and performance
• Monitoring and computing the SLO and the error budget of the product you operate
• Reducing the toil and the technical debt by automating tasks and increasing the quality of existing components
• Managing Incidents and Customer Requests

You might be a good fit if you have

• 5 years experience in a scalable environment
• Knowledge of at least one programming language (Python, Golang, Ruby) and you are familiar with software craftsmanship
• Experience working with APIs
• A focus on designing reliable, operable, and highly available applications
• Familiarity with at least Public Cloud Providers like GCP, AWS, or Microsoft Azure, and their Kubernetes service
• A good understanding of Linux system administration, networking, and troubleshooting
• Strong communication and organizational skills

Team’s current stack:

• Programming languages: Golang, Python, Ruby
• CI/CD:Github Actions, CircleCI
• IaC & configuration management:Terraform, Chef
• Platform: Linux, Kubernetes
• Hosting: Bare Metal Servers & Cloud on AWS & Azure
• Monitoring: Datadog & custom monitoring stack for our Search infrastructure

#LI-Remote

L'équipe Corporate Operations Finance recherche un·e Tech Lead Java basé·e à Lille

Au cœur de la direction financière du groupe Decathlon et du réseau IT United, nos équipes IT Finance (plus de 60 coéquipiers) conçoivent, déploient et assurent le bon fonctionnement de 50 solutions informatiques. Ces solutions permettent :

• aux équipes Finance d’exercer leur métier de manière plus fluide et performante (clôture comptable, gestion des achats, pilotage économique, etc.) ;

• de soutenir la transformation digitale de la fonction Finance en intégrant les dernières technologies (automatisation, RPA, API, Data-centric, IA, dématérialisation…).

L’équipe de Software Engineers a pour but de concevoir, faire évoluer et maintenir nos solutions internes. Elle regroupe aujourd’hui environ 20 développeurs répartis entre Lille (majoritairement), Nantes et Paris. Structurée en 3 squads, cette équipe évolue dans un environnement agile et hybride, avec une gouvernance partagée entre les différents sites. Un de nos axes stratégiques clés : garantir un environnement propice au développement technique de l’équipe tout en assurant la livraison d’applications fiables, performantes et sécurisées.

TA FUTURE CONTRIBUTION 

• Concevoir, développer, tester et déployer des applications Java robustes et évolutives.

• Collaborer avec le Product Management pour comprendre les exigences fonctionnelles et traduire ces exigences en solutions techniques.

• Intégrer et développer des API REST dans un contexte de service distribué.

• Mettre en place des solutions de streaming de données en utilisant Apache Kafka.

• Assurer la documentation adéquate des solutions développées.

• Participer aux revues de code et fournir des retours constructifs aux membres de l'équipe.
  
  

STACK TECHNIQUE 

• Back-end : Java, SpringBoot, Docker

• Front-end : AngularJS, Vue.JS, Svelte

• Cloud : GCP

• Tooling: Github, Jenkins, Kubernetes, SonarCloud, Prisma

• Outils Collaboratifs : Jira, Slack, Confluence
  
  

CE QUE TU APPORTES

• + 5 années d'expérience, en tant que développeur.se backend Java

• Expérience très significative dans le design, l'implémentation de bout en bout de solution en mode micro-service (RESTful)

• Bonne maîtrise des architectures distribuées et Event Driven

• Solides connaissances des principes Reactive programming, DDD, SOLID

• Solide expérience dans la mise en place d’une CI/CD, et dans l’intégration de toutes les couches de test (Unit, Acceptance, Integration, Load Testing...)

• Bonne connaissance des outils de monitoring et d’alerting. 

• Capacité à travailler efficacement dans un environnement Agile/Scrum.

• Excellentes compétences en résolution de problèmes et en débogage.
  CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;

• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;

• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;

• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;

• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).