Role Description Mission confiée - Prise en charge de la responsabilité complète du cycle de vie de la donnée - Conception et développement logiciel sur le projet Ju.N.I.Or - Conseil et soutien à l'expérimentation dans le domaine de la modélisation des données de santé publique - Soutien et encadrement pour les développeurs dans le domaine de la modélisation des données de santé publique - Gestion des accès aux données sensibles : définition et mise en œuvre des habilitations et politiques de sécurité Missions collectives (environ 10 % de son temps) : Dans le but de mutualiser son savoir-faire, la personne recrutée est amenée à réaliser des activités utiles au collectif des ingénieurs de développement de l'institut, dans son domaine de la science des données de santé mais aussi plus largement. Principales activités - Conception et participation au développement de l’architecture technique relative aux données du projet Ju.N.I.Or (90%) : - Architecture & Ingénierie des données : Cartographie, collecte, traitement (nettoyage, filtrage, harmonisation de données multi-sources, structuration et optimisation de bases de données), création de données synthétiques (modèles génératifs, méthodes statistiques), analyse. - Développement & Intégration : Conception et développement logiciel dans le domaine de la science des données de santé et des bases de données médico-administratives, mise en œuvre de pipelines de données (ETL, orchestration via Airflow/dbt), et développement de connecteurs avec les API des fournisseurs externes. - Expertise & Soutien technique : Conseil aux équipes sur la modélisation statistique, soutien technique des développeurs sur les problématiques liées aux données de santé, veille technologique. - Conformité et sécurité : gestion rigoureuse des habilitations pour les données sensibles, suivi des référentiels CNIL/RGPD pour l’anonymisation et la pseudonymisation des données. - Recherche & Valorisation : Contribution active aux expérimentations scientifiques, rédaction de documentation technique (dictionnaires, schémas) et production de preuves de concept (PoC). - Activités collectives, par exemple : - Formation ponctuelle, séminaires. - Vecteur des bonnes pratiques en génie logiciel et en expérimentation. - Participation à des rédactions de projets, conseils sur des projets de développement. - Représentation de l'institut sur le plan technique. Qualifications - Maîtrise avancée de langage de programmation, dont Python et expérience confirmée avec les bibliothèques de référence (pandas, numpy, scikit-learn, SQLAlchemy, etc.) et SQL (PostgreSQL). - Connaissance des bonnes pratiques de génie logiciel (architecture, versionning Git, documentation, packaging, CI/CD, etc.). - Expérience de production logicielle assistée par IA générative. - Expérience en conception de pipelines de données (ETL, orchestration Airflow, dbt, etc.). - Expérience avec des APIs REST pour l’intégration de données externes. - Expérience en génération de données synthétiques (SDV, CTGAN, Synthpop, etc.). - Expertise en science des données appliquée à la santé et aux bases médico-administratives. - Expérience en modélisation statistique et expérimentation scientifique. - Maîtrise de la démarche scientifique : reproductibilité, état de l'art, mesure de performance, contribution à la publication scientifique. - Maîtrise des principes d’anonymisation et de protection des données (RGPD, référentiels CNIL). - Connaissance des environnements de traitement de données de santé (PDS, SNDS, PMSI) et du secteur de la santé publique appréciée. - Capacité à traduire des besoins scientifiques en santé publique en solutions technologiques concrètes. - Capacité à conduire une veille technologique active et à la partager. - Aisance rédactionnelle et de présentation en français et en anglais. - Capacité d’écoute et esprit de conciliation. - Goût pour le travail d’équipe. - Capacité d’initiative et d’autonomie. - Sens de l’organisation. Requirements - Niveau 7 Master/diplômes équivalents. - Spécialisation : Informatique, traitement de l'information, réseau de transmission des données. Elements de candidature - Pour postuler à cette offre, l'envoi du CV est obligatoire.

• Manage, mentor, and grow a dedicated team of security engineers. • Conduct continuous performance evaluations (quarterly and annually) to guide professional development and advocate for promotions. • Define and execute a forward-looking security engineering roadmap aligned with Product Engineering needs and broader business initiatives, including the secure enablement of AI technologies. • Translate high-level business direction into actionable quarterly deliverables for the team. • Establish and measure team success against the completion of quarterly goals and the continuous improvement of annual compliance audit results. • Champion shift-left security practices, including threat modeling, secure code review, and developer security training embedded in the software development lifecycle. • Own and scale application security tooling—SAST, DAST, and SCA platforms—to systematically surface and remediate vulnerabilities across product codebases. • Shift the security paradigm from manual operational cleanup to building automated solutions and guardrails that eliminate entire classes of vulnerabilities. • Lead “research spikes” to proactively investigate cloud-native environments and identify systemic security gaps before they become incidents. • Ensure all security initiatives are rooted in clear findings and deliver exact, architectural fixes (code or configuration) to resolve them. • Define and enforce cloud security standards spanning IAM, API security, secrets management, and container workloads across AWS environments. • Define and enforce security standards for internal enterprise AI systems, including LLM-based agents, RAG pipelines, and AI-integrated workflows—covering risks such as prompt injection, data exfiltration, and privilege escalation. • Lead threat modeling for agentic AI systems where models have access to tools, APIs, or sensitive data. • Partner with AI/ML engineering teams to embed security review into AI development lifecycles, from model selection through deployment. • Evaluate and deploy AI-native security tooling to augment the team’s detection, triage, and remediation capacity. • Act as an internal consultant and advisory body to Product Engineering teams, guiding them on secure implementation practices. • Communicate complex, highly technical security risks effectively to non-technical project managers and stakeholders. • Influence and negotiate with software developers to prioritize and remediate vulnerabilities within their workflows. • Serve as the primary technical bridge between Product Engineering and Security Operations, providing guidance on cloud and Kubernetes security configurations.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Team: As the Manager of Software Engineering, you will lead the Software Asset Management (SAM) team within IT Asset Management (ITAM) supporting a product that helps enterprise organizations manage software licenses, optimize costs, and stay compliant at scale. This hands-on leadership role will set technical direction, driving execution of key initiatives such as license compliance and optimization, telemetry improvements, and innovative features like machine learning for contract analysis and AI-driven customer experiences. You will oversee engineering operations, ensure product quality and scalability, and foster collaboration across global teams, including close partnership with the IDC team to deliver 24x7 customer support. About the Role: As a Manager, Software Engineering Management, you will set technical direction and serve as a thought partner to your engineers and product counterparts, staying close enough to the work to make sound technical judgments and unblock your team when it matters. You will lead a team as a people manager, investing in their growth deliberately, raising the performance bar with intention rather than simply maintaining it, and consistently creating space for innovation alongside a fast-moving technical growth. What you get to do in this role: - Manage product development activities and oversee end-to-end engineering deliverables. - Manage and build a team of engineers by identifying individual strengths, providing career development, and proactively elevating engineers. - Work with product management, design, support, quality, and other dev teams to create high-quality solutions. - Manage daily activities and lead monthly release cycles with product management, providing technical feedback to maintain delivery velocity, ensuring engineering excellence and code quality.. - Drive continuous improvement and innovation initiatives by identifying proof-of concept opportunities, integrating AI-enabled engineering workflows, including designing testing strategies, driving test automation to enhance reliability, performance, and scalability of products and services. - Solve ambiguous problems and fast-changing priorities by providing clear direction to the team by fostering collaboration and applying structured decision-making. - Manage departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering and quality team. - Partner with cross-functional teams and stakeholders to align priorities, communicate issues, and utilize best practices. - Partner with the India engineering team to coordinate across time zones, deliver continuous 24X7 product support, and maintain alignment between US and India-based engineering workflows. - Evaluate technical feasibility of product requirements, contribute to design discussions, and support the team by leading demos and providing hands-on guidance. Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This includes using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's impact on engineering practices. - Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. - 5+ years of experience as a technical lead for technical teams - Strong background in modern software engineering practices and technologies relevant to large-scale enterprise products. - Advanced coding skills with fluency in one or more relevant programming languages (Java, C++, Ruby, Shell, JavaScript, or similar). - Experience with open source tools, automation frameworks, and agile development environments. - Proven ability to design and implement effective testing strategies, including automation and performance testing. - Strong problem-solving, analytical, and communication skills with the ability to mentor and grow high-performing teams. - Experience in managing cross-functional teams with combined engineering and quality responsibilities. For positions in this location, we offer a base pay of $166,500 - $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Role Description The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: - You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. - Make your customers extremely successful with Databricks and provide outsized value to their businesses. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets while ensuring customer success. - Keep your team of SAs ahead of the technical curve, ensuring continuous learning and advanced knowledge of the data+AI technology stack. Qualifications - 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals. - 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). - A deep technical understanding of the impact that Data + AI can drive within various industry segments. - Technical competence to earn the trust of Engineering talent and leadership at Databricks. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. - Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. - Experience working with other teams such as Product Management, Engineering, and Customer Success. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. Requirements - Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. - Zone 1 Pay Range: $192,100 — $264,175 USD. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here . Company Description Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.