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• Defining and setting development, test, release, update, and support processes for DevOps operation
• Implementing various development, testing, automation tools, and IT infrastructure
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimising the wastage.
• Encouraging and building automated processes wherever possible
• Working with technical architects selecting and deploying appropriate CI/CD tools
• Incidence management and root cause analysis
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

• Bachelors/Masters in an IT or Engineering related subject
• Excellent understanding of one or more programming/scripting languages
• Familiarity with Orchestration / Kubernetes
• Experience using Jenkins
• Automation/Monitoring tools like: Ansible, Packer, Zabbix etc.
• Experience working in the cloud

• Solution-oriented, improvement mindset, analytical and structured.
• Proactive and takes ownership of role and responsibilities.
• Team player, focused on team goals, and sharing best practice.
• Able to embrace change and to have an improvement mindset.
• Time management skills; accustomed to meeting deadlines and ability to work under pressure.

• Support DevOps tools across the product lifecycle, including planning, coding, building, testing, deployment, security, release, and monitoring.
• Capture project requirements, provide expert consultation, and guide teams in adopting best-practice DevSecOps methodologies and tools.
• Customize and optimize tools to align with specific project needs and objectives.
• Work closely with a global team to ensure seamless integration and operation of DevSecOps solutions.
• Design and deliver training programs on DevSecOps tools and practices.
• Create and adapt projects and pipelines within Azure DevOps and GitHub Enterprise environments.
• Integrate additional applications such as SonarQube, Microfocus Fortify, and Artifactory into Azure DevOps and GitHub Enterprise.

• Experience: At least 2 years of professional experience in science, technology, engineering, or mathematics. Certifications in these areas are a plus.
• Familiarity with Agile methodologies, including Scrum, or equivalent certifications.
• Technical Knowledge:
  • Basic understanding of Azure DevOps and GitHub.
  • Experience with Continuous Integration/Continuous Delivery (CI/CD) tools.
  • Familiarity with SonarQube and application integration within DevOps environments.
• Motivation to learn and expand expertise in DevSecOps applications.
• Advanced English

• Open salary based on experience
• International team and project
• Career development and training plans
• 30 vacation days
• Attractive benefits package

• Plan, manage, and oversee all aspects of a Production Environment
• Define strategies for Application Performance Monitoring, Optimization in Production environment
• Respond to Incidents and improvise platform based on feedback and measure the reduction of incidents over time.
• Support deployment of code into multiple lower environments. Supporting current processes with an emphasis on automating everything as soon as possible.
• Design, develop and standardize Monitoring and Alerting mechanisms for the supported applications.

• Experience in cloud-based application support
• Ansible/Chef
• Jenkins
• CI/CD
• Groovy Scripting/Yaml
• Linux & Shell Scripting
• Troubleshooting

• 3+ Years data engineering experience
• Snowflake experience
• Proficiency across an AWS tech stack
• DevOps experience building and deploying using Terraform

• DBT
• Data Modelling
• Data Vault
• Apache Airflow

• WP1 - Définition des Cycles de vie des applications (Secure-SDLC) :
• Contrôler des codes sources
• Sécuriser le release management
• Sécuriser les données
• Assurer la traçabilité
• Vulgariser le processus de SSDLC au près des security champions

• WP2 - Définition des standards de développement (DevSecOps).
• Contribuer aux phases de conception
• Modéliser les designs applicatifs
• Standardiser le DevSecOps avec les équipes système et de Développement

• WP3 - Sécurisations des données
• Contribuer à la sécurisation des tenants cloud applications
• Mécanisme de revu de code
• Anonymisation des données

• WP4 - Sécurisations des APIs
• Contribuer à la sécurisation des APIs (Authentification et Autorisation), et encryption in-transit
• Protection DoS/DDoS
• Règles de pare-feu applicatif WAF et mise en place d'alertes techniques et business

• Fourniture des standards Secure-SDLC
• Support aux équipes DevOps à l'intégration des bonnes pratiques de sécurité
• Accompagner les équipes DevOps vers des pratiques DevSecOps
• Développement des processus DevSecOps et scripts custom Azure DevOps
• Mise en place et monitoring d'outils d'analyse code temps réel et construction de process de remédiation des vulnérabilités
• Rapport de suivi des recommandations
• Documentation d'exploitation
• Fourniture du Runbook

• Secure SDLC / DevSecOps - Très bonne connaissance de la sécurisation du cycle SDLC et expérience des pratiques de développement CI/CD/CS (Continuous Integration/Continuous Delivery/Continuous Security)
• IAM / PAM / CIAM - Très bonne connaissance en schéma d'authentification SSO, OpenID Connect (OIDC), aux frameworks SAML et OAuth et au standard JWT
• API : Très bonne connaissances SOAP / RESTful / GraphQL / gRPC / WebSocket / WebHook
• WAF : Experience pare-feu application web
• Authentification : Très bonne connaissance en authentification forte (2FA, MFA, OTP) et passwordless (FIDO2 et Passkeys) et conditional access
• Data : Experience en anonymisation et pseudo anonymisation des données ainsi que la compliance Data Protection dans les cycles de développement logiciel.
• SAST/DAST : Expérience sur les outils suivants Snyk, SonarCloud, Qualys WAS et BurpSuite serait un plus.
• OWASP : Connaissance et expérience Top 10
• ITIL v4 : Certification ITILv4 foundation

Responsibilities:

• DevOps Experience: Work in DevOps processes and implementations in large-scale teams, collaborating closely to ensure streamlined and effective CI/CD workflows.
• Cloud Infrastructure Automation: Implement and manage infrastructure as code (IaC) using Terraform, Azure ARM, and AWS CloudFormation.
• Monitoring and Telemetry: Oversee synthetic monitoring, APM, infrastructure monitoring, and cloud integrations, leveraging New Relic to drive insights and improvements.
• Data Visualization: Utilize telemetry (MELT) data visualization techniques post-implementation to ensure optimal system performance and insights.
• CI/CD Implementation: CI/CD processes using tools such as OpenShift, GitLab, and Azure DevOps to achieve efficient and scalable deployments.
• Cloud Platform Management: Manage and automate Azure cloud environments, focusing on advanced automation and management solutions.

What We're Looking For:

• Technical Expertise: 3+ years leading DevOps processes in large teams and 2-4 years hands-on experience with New Relic, CI/CD tools (OpenShift, GitLab, Azure DevOps), and IaC (Terraform, Azure ARM, AWS CloudFormation).
• Monitoring & APM Knowledge: Solid experience with synthetic monitoring, APM, and infrastructure monitoring tools, as well as telemetry data visualization post-implementation.
• Cloud Management Skills: Strong background in Azure cloud management and automation (2-4 years).
• Communication Skills: Ability to communicate with both technical teams and management, presenting insights clearly.
• Soft Skills: Proactive mindset, solid English proficiency, and adapt at working with both technical and executive stakeholders.

Preferred Qualifications:

• Educational Background: Bachelor's degree in Computer Science or related field.
• Data Analytics Skills: Knowledge of data analysis, data science, and data visualization, with experience querying data.
• Coding Experience: Background in scripting or coding to support DevOps workflows.
• Stakeholder Management: Experience working with internal and external stakeholders.

What We Offer:

• Work Arrangement: Hybrid model with 60% on-site in Madrid and the remaining 40% remote from your preferred location.
• Project Stability: Join a stable, long-term project with a well-known end client in the industry.
• Compensation: Competitive salary tailored to your experience, along with an attractive benefits package.
• Time Off: Enjoy 30 days of vacation

• Lead and mentor a cross-functional development team focusing on AWS-based products.
• Oversee the implementation of CI/CD processes to enhance software delivery and deployment.
• Collaborate with team members in a Scrum environment to define priorities and deliverables.
• Manage security protocols and ensure compliance with industry-leading practices.
• Drive automation initiatives to improve operational efficiencies across development processes.
• Utilize Terraform to manage infrastructure as code, ensuring maintainability and scalability.
• Facilitate team scrum meetings, sprint planning, and retrospectives, fostering a culture of continuous improvement.

• Proven experience in software engineering, with a focus on leadership roles.
• Strong experience with AWS and familiarity with security best practices.
• Proficiency with CICD tools and methodologies.
• Experience in automation, particularly with Terraform and related technologies.
• Familiarity with Agile methodologies, particularly Scrum.
• Excellent leadership, communication, and interpersonal skills.

• Concevoir, développer et maintenir des pipelines de données complexes sur GCP.
• Mettre en œuvre des solutions d'intégration et de transformation des données adaptées aux besoins métiers.
• Optimiser les flux de données pour garantir leur performance, leur sécurité et leur scalabilité.
• Collaborer avec des équipes pluridisciplinaires : data scientists, analystes et architectes.
• Assurer le suivi et le monitoring des environnements cloud.
• Proposer des améliorations continues en adoptant les meilleures pratiques de gouvernance des données.

• Expérience : 3 à 5 ans en tant que Data Engineer avec une expertise reconnue sur GCP.
• Compétences techniques :
  • Maîtrise des outils GCP : BigQuery, Dataflow, Pub/Sub, Cloud Storage.
  • Solides connaissances en Python et SQL pour le développement de pipelines ETL.
  • Compréhension des bases de données relationnelles et non relationnelles (MySQL, MongoDB, etc.).
• Une expérience avec Apache Beam, Terraform ou Airflow est un atout.
• Soft skills : Autonomie, esprit d'analyse, capacité à travailler en équipe et goût pour l'innovation.

• Localisation : Poste basé à Paris, possibilité de télétravail.
• Contrat : CDI.
• Rémunération : Attractive, selon profil et expérience.

• Définir la stratégie technique des données en collaboration avec les équipes.
• Concevoir des architectures robustes et superviser la mise en œuvre des pipelines ETL.
• Optimiser les performances et assurer la scalabilité des infrastructures de données en cloud hybride.
• Encadrer l'équipe Data, former et garantir la montée en compétences.
• Développer le MLOps pour les solutions de Machine Learning.

• 🌐 Projets de Data innovants.
• 🏡 Environnement agile avec télétravail flexible.
• 🎓 Opportunités de formation continue.
• 🎁 Avantages : congés supplémentaires, mutuelle, télétravail, etc.

• Cloud (Azure, AWS, OVH), Spark, Airflow, ETL (Talend).
• Python, SQL, DBT, PostgreSQL, Hadoop.
• Docker, Kubernetes, Git, Jenkins, Méthodes agiles.