• Desarrollar y mantener aplicaciones en Java. • Colaborar con equipos para implementar soluciones de DevOps. • Participar en la mejora continua de procesos de desarrollo y despliegue. • Contribuir a la arquitectura y diseño de sistemas.

Role Description Fanatics Betting & Gaming (FBG) is seeking a Level 3 Platform Engineer to join our Platform Engineering team. This role sits within our Platform & Architecture group, focusing on infrastructure and deployment capabilities that support our product and engineering teams. As a Level 3 Platform Engineer, you will work on cloud infrastructure, release pipelines, and deployment systems that enable faster delivery. You'll own specific platform components, maintain reliable systems, and contribute to the engineering practices of the team through code quality and knowledge sharing. What You’ll Do - Deliver platform projects independently: Translate requirements into executable tasks for features or components within our infrastructure and deployment systems with sprint-level guidance. - Maintain multi-component systems: Own the operational health of platform services, leading incident response and driving root cause analysis to prevent recurring issues. - Contribute to technical design: Help design small features or components with support from senior engineers, considering tradeoffs between simplicity, performance, and scalability. - Write clean, maintainable code: Deliver reliable, well-tested code for non-trivial systems and suggest modest improvements to existing patterns. - Model good engineering practices: Informally guide junior engineers, sharing what you've learned through code reviews and hands-on collaboration. - Communicate clearly: Explain technical work, tradeoffs, and risks to your team in ways that help them make informed decisions. Qualifications - 3–5 years of software engineering experience, with exposure to platforms, infrastructure, or backend systems. - Solid understanding of CI/CD concepts and hands-on experience implementing or improving pipelines. - Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). - Comfort writing production code in at least one backend language (Python, Go, Java, or similar). - Experience writing robust tests and anticipating edge cases. - Ability to debug systems, read logs, and diagnose operational issues. - Clear communication skills and ability to work collaboratively with your team. Nice to Have - Experience with observability, monitoring, and reliability engineering practices. - Familiarity with distributed systems and high-availability architecture. - Experience responding to incidents and conducting root cause analysis. - Background supporting or improving platform or infrastructure projects. Why Platform Engineering at FBG Platform Engineering at FBG operates with a product-first mindset. Our mission is to empower developers with reliable, scalable, and intuitive platforms that accelerate innovation and delivery. Working Across Regions This role operates in a globally distributed environment, working closely with teams across the UK, Ireland, and the United States. Strong communication, time zone coordination, and shared ownership are essential for success. Travel Expectations Periodic travel to the United States is expected for offsites, planning sessions, and collaboration. Occasional travel within the UK and Ireland may also be required. For information about our benefits, please visit https://benefitsatfanatics.com/ . By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Role Description Join the Digital Office at Wakam and help revolutionize the insurance industry through innovation and technology. We are a center of expertise where cutting-edge tools meet strategic thinking. Our teams design, develop, and optimize robust digital solutions that improve efficiency and user experience — all within an Agile, collaborative, and fast-paced environment. - Stratégie & Roadmap DevSecOps: - Réaliser un assessment de la situation actuelle et définir une roadmap DevSecOps claire, en coordination avec le comité d'architecture. - Prioriser les actions selon une approche risque globale — pas uniquement sécurité — adaptée au contexte de Wakam. - Définir les métriques de performance et de fiabilité des processus de sécurité. - Support & Accompagnement des Équipes: - Accompagner et supporter les équipes de développement et d'opérations sur les sujets sécurité au quotidien. - Mettre en perspective les risques business et techniques pour faciliter la prise de décision. - Former et sensibiliser les équipes aux bonnes pratiques de sécurité (secure coding, threat modeling, etc.). - Développer une culture DevSecOps durable au sein de l'organisation. - Shift-Left Security: - Intégrer les tests SAST, DAST, SCA directement dans les pipelines CI/CD avec des temps de réponse optimisés. - Concevoir et déployer des suites de tests de sécurité rapides, fiables et en parallèle, avec feedback immédiat pour les développeurs. - Documenter les flux de données et modéliser les surfaces d'attaque dès la phase de conception. - Automatisation & Outillage: - Déployer et configurer les outils d'analyse statique et dynamique (SonarQube, Trivy, Snyk, OWASP ZAP, etc.). - Orchestrer les déploiements sécurisés via les pipelines CI/CD, avec mécanismes de rollback automatique et validation multi-niveaux. - Développer des outils d'automatisation sur mesure lorsque les solutions du marché ne couvrent pas les besoins. - Gestion de Version & Configuration: - Implémenter l'Infrastructure as Code (IaC) avec contrôles de sécurité intégrés (Terraform, Ansible). - Assurer le versioning intégral : code, infrastructure, configurations et politiques de sécurité. - Gérer les secrets et certificats via des solutions dédiées (HashiCorp Vault ou équivalent). - Supervision & Gestion des Incidents: - Déployer et maintenir les outils de supervision de la sécurité (SIEM, alerting, monitoring). - Automatiser la détection d'anomalies et la réponse aux incidents (SOAR, runbooks automatisés). - Participer activement à la gestion et à la résolution des incidents de sécurité. - Support à l'Administration de l'Environnement de Travail: - Apporter un support technique à l'équipe en charge de l'environnement bureautique (Microsoft 365, Exchange Online, SharePoint) sur les sujets de sécurité et de monitoring. - Contribuer à l'intégration des outils collaboratifs dans les politiques de sécurité globales (authentification, accès conditionnels, DLP, alertes SIEM). - Faciliter l'automatisation des tâches d'administration récurrentes et la mise en place d'alertes sur les comportements anormaux. - Veille & Amélioration Continue: - Animer une veille active sur les évolutions DevSecOps, les nouvelles menaces et les pratiques émergentes. - Évaluer et intégrer les nouvelles technologies pertinentes pour l'environnement Wakam. - Partager les bonnes pratiques et retours d'expérience en interne et au sein de la communauté DevSecOps. Qualifications - 7+ years in software engineering and/or operations. - Solid development background (Dev or DevOps profile). - Strong hands-on experience in application and infrastructure security. - Understanding of Cloud-based production environments. - Experience with Security Operations (SOC) is a plus. Requirements - 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. Benefits - True remote work flexibility with our Wakam From Anywhere (WFA) program. - Flat hierarchical system promoting direct impact and autonomy. - Monthly Free.day: dedicated time for personal growth and skills development. - Lunch voucher with Swile card. - A meaningful company: we became a Mission-driven company in March 2021. - Work alongside passionate experts who will share their knowledge and help you develop and grow in your career. Company Description At Wakam, we’re on a mission to reinvent insurance with tech, transparency, and purpose. You’ll join a bold, international company where experimentation is encouraged, ideas are valued, and personal growth is supported.

Role Description We are looking for a Senior Manager, DevSecOps to lead a group of engineers working across multiple teams integrating security into our DevOps, CI/CD, IaC pipelines, and AI/ML workloads, ensuring secure, compliant, and efficient software delivery across the organization. As a DevSecOps Sr. Manager at DoubleVerify, you will oversee technical design and execution across multiple functional areas while providing strategic leadership on DevSecOps best practices, cloud-native security, AI/ML security, and automation. You will lead teams of 2-5+ DevSecOps and security engineers across multiple infrastructure areas, fostering a culture of security throughout the software development lifecycle (SDLC) and AI/ML pipelines. This role requires balancing technical depth in areas such as Infrastructure-as-Code (IaC), container security, and AI security with strategic leadership to drive security initiatives across the organization. The ideal candidate will serve as a technical leader who can architect secure solutions for both traditional and AI workloads, develop their teams' capabilities, and work cross-functionally with engineering teams to embed security practices into every stage of development, deployment, and AI model lifecycle. Responsibilities - Manage and lead multiple DevSecOps teams, mentor and hire senior DevSecOps and security engineers, building high-performing teams focused on security excellence across traditional and AI workloads. - Secure AI/ML pipelines and infrastructure by implementing security controls for model deployment environments, ensuring protection against AI-specific threats such as prompt injection, data poisoning, and model extraction. - Establish AI security governance frameworks including policies for LLM usage, RAG (Retrieval Augmented Generation) systems security, MCP (Model Context Protocol) security, and AI supply chain risk management. - Implement automated security scanning for AI artifacts including model files, training datasets, and AI-generated code, integrating these checks into CI/CD pipelines alongside traditional SAST, DAST, and SCA tools. - Oversee security for AI workload identity and access management, ensuring proper authentication, authorization, and encryption for AI services, APIs, and vector databases used in RAG systems. - Lead AI security incident response for threats specific to AI/ML systems including adversarial attacks, model theft, data leakage through LLM outputs, and unauthorized AI service usage. - Ensure adherence to compliance standards such as SOC 2, ISO 27001, SOX, and MRC by automating compliance evidence collection, with special focus on AI governance and responsible AI principles. - Define and execute DevSecOps strategy aligned with business objectives, security requirements, and emerging AI security best practices across the organization. - Create architecture designs for security systems and services spanning multiple teams and infrastructure areas, including AI-specific security architectures. - Drive continuous improvement of security automation, AI security tooling, and processes across traditional and AI workloads. - Establish security metrics and KPIs to measure team effectiveness, security posture, and AI risk exposure. - Foster a culture of security awareness and AI security best practices across engineering, data science, and product teams. - Collaborate with senior/executive management regularly on security strategy, AI risk management, and cross-organizational security initiatives. Qualifications - 5-6+ years of experience in Cybersecurity/DevOps, or DevSecOps, with proven experience leading security teams of ~5+ engineers across multiple infrastructure areas. - Bachelor's degree in Computer Science, Information Systems, or equivalent experience in a related field. Requirements - AI/ML Security: LLM security (prompt injection, jailbreaking, data leakage), model security, AI supply chain security, adversarial ML defense, RAG system security, vector database security, MCP security. - AI Governance & Compliance: Responsible AI frameworks, AI risk assessment, model governance, AI audit trails, privacy-preserving ML techniques. - AI Pipeline Security: Securing model training environments, ML pipeline security, model versioning and provenance, AI artifact scanning, AI workload isolation. - AI Identity & Access: AI service authentication, API security for AI endpoints, token management for LLM services, workload identity for AI inference. - Network Security: Firewalls, segmentation, intrusion detection/prevention systems, AI traffic analysis. - Encryption and Cryptography: TLS/SSL, certificate management, encryption at rest and in transit, secure model storage. - Identity and Access Management: IAM, Keycloak, Teleport, Workload Identity, AI service accounts. - Operating System Security: Hardening, patch management, compliance frameworks. - Application Security: Container security, Kubernetes security policies, SAST, DAST, SCA tools, AI-generated code scanning. - Threat Intelligence and Analysis: Vulnerability scanning, AI threat detection, adversarial attack detection. - Incident Response and Forensics: Security incident handling, AI-specific incident investigation, model forensics. - Risk Management and Compliance: SOC2, ISO 27001, SOX, AI governance frameworks, audit preparation and evidence collection. - Security Architecture and Design: Zero Trust principles, defense in depth strategies, AI security architecture patterns. - Automation and Scripting: Security automation, ACME, certbot, Python, Bash, AI security tooling automation. - Cloud Security: GCP, AWS, OCI security controls and best practices, AI service security configurations. Benefits - Competitive salary range: $131,000 - $260,000 based on qualifications. - Eligible for bonus/commission (as applicable), equity, and benefits. Company Description DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. We operate at a massive scale, our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We are global, with R&D centers in New York, Paris, London, Munich, Belgium, and more. We believe that hiring people with a broad range of technical skillsets results in the highest satisfaction for our engineers and a strong return on investment for the company.