The MongoDB Query Execution Team is hiring software engineers who want to join us in developing a high performing, reliable and modular distributed query system. Our engineers work on implementing and maintaining execution algorithms, building new query language features, tuning database performance, and more to power our customers' critical workloads. This role can be based remotely in France. Position Expectations Understand and improve current functionality of the MongoDB query engine Contribute high quality C++ code and give and solicit feedback in code reviews Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work constructively with peers to deliver excellent technical solutions Candidate Profile 5+ years of experience in systems programming Experience in databases and/or data management systems is a huge plus, but not a requirement Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases, preferably in C++, C, Rust or a similar compiled language B.Sc in Computer Science or similar field, or equivalent practical experience Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus
Jobs in France
Senior Software Engineer in France
11 active opportunities · Updated October 2026
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Explore current senior software engineer jobs across France. Filter by work mode, employment type, experience, department, date posted and distance.
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Datadog’s Chaos Engineering team builds systems that surface reliability weaknesses before they become outages. As a Senior Software Engineer, you will initially focus on zonal resilience, building automation that helps services safely evacuate and recover from zonal failures, while also contributing to fault injection, incident replay, gameday orchestration, and reliability tooling. You will work across engineering teams to design systems that safely exercise production failure modes and turn findings into verified remediation. You will also help advance the use of AI and automation to identify, test, and close resilience gaps as Datadog’s software and infrastructure evolve. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build zonal-resilience automation that coordinates safe workload evacuations, switchovers, and recovery in partnership with the teams that own affected services. Design and build fault-injection systems for production environments, including infrastructure- and application-level testing, incident replay, and controlled resilience experiments. Develop safeguards such as blast-radius controls, kill switches, validation mechanisms, and rollback paths that keep production experiments contained and reversible. Build agents and automation that help pr
The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend
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Présentation du poste : Au sein de l’équipe technique d’Artefact, vous rejoignez une communauté de Software Engineers intervenant en tant qu'architectes et développeurs auprès de grands groupes mondiaux. Dans un contexte de forte accélération autour de la Data et de l’IA Generative, vous intervenez pour répondre à des problématiques stratégiques et complexes d'ingénierie logicielle. Ce qu’on attend de vous : En tant que profil Senior, vous concevez et déployez des architectures robustes (Data Platforms, Agentic Platforms), tout en encadrant les choix techniques et la qualité des livrables. Vous jouez un rôle clé dans l'épanouissement de l'équipe à travers le mentoring, les revues de code et le partage de bonnes pratiques sur des stacks modernes. Vos missions : Concevoir et déployer des architectures Data & IA complexes et scalables (ex. architectures Médaillon, solutions multi-agents LangGraph sur Kubernetes). Construire des Data Platforms robustes sur GCP, AWS, Azure ou Snowflake en appliquant les principes de l'Infrastructure as Code (IaC). Intégrer les technologies GenAI et LLM au sein de systèmes complexes (orchestration, évaluation, contrôle) et utiliser des coding agents au quotidien pour optimiser la productivité. Garantir la qualité du code, la sécurité et la performance des livrables en appliquant les meilleures pratiques de Software Engineering. Accompagner et faire monter en compétences les membres de l'équipe à travers des revues de code form
Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to
The Incident Insights & Readiness SRE team at Datadog fosters a resilient culture by using incidents as learning opportunities and catalysts for growth. Our users are Datadog engineers, and we build the software, tooling, and operational frameworks that help them prepare for, respond to, and learn from incidents. We work closely with engineering teams across Datadog to analyze incidents and turn those insights into better tools, stronger incident response, and organizational learning. Our efforts empower Datadog to navigate unexpected failures confidently, efficiently, and with a commitment to continuous learning and systems improvement. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own and improve the on-call experience for the company by establishing best practices and building platforms to support on-call rotations and compensation. Define how we respond to incidents, lead the design and implementation of software to streamline the process, and collaborate with product teams to improve incident response across Datadog. Our aim is to fully support our incident responders in dealing with complexity. Contribute to the post-mortem process for the company, collaborating with teams on writing them, and identifying opportunities to reduce fri
About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API S
Please note that the job is only available from the locations outlined. We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural pla
We are looking for a strong technical leader to join the Private Action Runner team, part of the larger Action Platform group and help shape one of the core execution layers behind Datadog’s action-taking and remediation capabilities. Private Action Runner (PAR) enables Datadog products and AI agents to securely run actions inside customer infrastructure with controls for authentication, permissions, auditing and safe execution. The role will be hands-on, covering architecture, implementation, reliability and collaboration with teams integrating PAR across Datadog. It also offers leadership exposure through leading a team of 3 engineers, with the expectation that the role will quickly transition into a formal Engineering Manager 1 position as the team grows. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here) Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Mentor and lead a small team of 3 engineers Who You Are: (Describe role qualif
This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI applica
We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way . At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and
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Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption
Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signal
Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisab
Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM , Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As an Engineering Manager on Husky, you will lead one of a few closely collaborating teams that work directly on Husky’s internals. We own the full lifecycle of events stored by our Event Platform – whether it’s managing the ingestion of over 100 million events per second exactly-once , optimizing the persistence layer with lightning-fast compaction , tweaking our columnar format, timely deletion across hundreds of thousands of customer tables, or building the metadata service that enables hundreds of thousands of queries per second – you will be responsible for the growth and success of a team constantly meeting new scalability requirements driven by Datadog’s growing customer base and suite of products. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Manage a team of software engineers ranging from new grads to senior engin
MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. This role will be based remotely in Paris. We’re looking for someone with: 10+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations Excellent analytical, diagnostic skills, and problem-solving skills High motivation for a role that combines deep technical and customer-management dimensions Co
The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record. We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all. The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is
€178K – €244K/yr
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Int
Observability Pipelines (OP) is Datadog's on-premise, vendor-agnostic telemetry pipeline product. As an Engineering Manager on the team, you'll own people management and engineering execution for one of OP's core missions, spanning areas like Integrations (ingesting from and routing to the many source and destination systems customers rely on), streaming insights, cost control, or pipeline capabilities, reliability and scalability. You'll partner directly with Product to help shape the roadmap, and work closely with your peer EMs and senior ICs to define how OP operates and grows. This is an opportunity to build your management craft while having real influence over the technical direction of a fast-growing product area. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Own people management and engineering execution Establish a strong operating rhythm for the team Drive high standards for on-call rotations and incident response Partner with Product on the roadmap, balancing product priorities with technical realities Lead, coach, and grow the careers of engineers on your team Who You Are: Experienced managing engineers directly, comfortable owning a team’s operating rhythm end-to-end, from planning through e
About the Team We are hiring a Product Partnerships Manager based in France with primary responsibility for the French market. You will own some of OpenAI’s most important business development and partnerships while contributing to broader EMEA and international priorities. The role is responsible for identifying, developing, and executing partnership strategies that accelerate adoption of OpenAI’s products across enterprise, developer, and consumer channels. About the Role You will develop relationships with strategic partners in France and on cross-border opportunities, ranging from global technology platforms to regional champions, including enterprise software vendors, telcos, cloud providers, and government-aligned organizations. This is a deeply cross-functional role requiring close collaboration with Product, Engineering, GTM, Legal, and Policy teams. Although the role has clear accountability for France, team priorities may evolve, so you must be ready to take on other markets, verticals, or partnership types. Please note, this role is based in Paris with 3 days per week required in the office. In this role, you will: Own the partnership development strategy and execution for France, driving end-to-end partnership sourcing and delivery in the market while contributing to broader EMEA and international priorities Source, negotiate and close strategic local and cross-border deals across commercial terms, product scope, data/privacy, brand/marketing, incentives, and expa
Datadog (NASDAQ: DDOG) is looking for a Product Strategy and Corporate Development Lead to drive Product vision, M&A, and venture investments for Datadog. You will work directly with Datadog's founders, partnering with Datadog's global engineering and product leaders to identify and execute transactions that expand our platform into new markets. This is not a traditional Corp Dev seat. You will operate on a small, high-autonomy team where technical depth matters as much as deal execution. You can expect to focus on the EMEA landscape, which is one of the most dynamic ecosystems in enterprise software right now, and you will be at the center of it. At the same time, you'll be working with our Product and Engineering leaders based in Europe, who will depend on you to be the fabric between our NYC and Paris HQs. Together, you'll be expected to go deep and autonomously explore new areas of expansion for us. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here) Be close to our Product & Engineering leaders to discover new areas of interest and acceleration before an M&A target is even identified, and stay ahead of market trends in AI/ML, observability, security, and cloud infrastructure to inform Datadog's growth stra
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re hiring a Senior Solutions Engineer to build Synthesia’s presales function in France and Southern EMEA. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continu
Capco France recherche un·e Senior React Developer pour accompagner les acteurs des secteurs financiers dans le développement et l'évolution d'applications web modernes, performantes et accessibles. Au sein de notre Practice Technology, Product & Engineering, v ous interviendrez sur des problématiques de développement frontend, d'architecture applicative et d'expérience utilisateur, en étroite collaboration avec des équipes pluridisciplinaires réunissant développeurs, UX/UI Designers, Product Owners et experts techniques répartis dans plusieurs pays. Vous contribuerez à la conception de solutions robustes, réutilisables et maintenables, avec une attention particulière portée à l'accessibilité web, à la qualité du code et aux bonnes pratiques de développement. Vos missions : Concevoir, développer et maintenir des applications web modernes avec React 19 et TypeScript 7 , en privilégiant des architectures frontend évolutives, performantes et maintenables. Contribuer aux choix d'architecture et à l'évolution d'une bibliothèque interne de composants basée sur React Aria, en garantissant leur réutilisabilité et leur cohérence. Placer l'accessibilité web au cœur du développement, en appliquant les standards et bonnes pratiques dès la conception jusqu'aux tests et aux revues de code. Collaborer avec les équipes UX/UI pour intégrer les maquettes Figma, développer les interfaces et assurer les interactions avec les API b
About the Team OpenAI’s Legal team supports OpenAI’s mission by addressing complex legal issues arising from the development and deployment of AI. The team brings together expertise in commercial, corporate, employment, privacy, intellectual property, regulatory, tax and litigation matters, and works closely with teams across the company. About the Role We’re seeking an experienced, hands-on lawyer to serve as our country lawyer for France, providing broad legal support for our local office with a primary focus on regulatory and policy legal matters affecting OpenAI’s products, operations and business. You will advise on French and EU regulatory developments, develop practical legal positions and recommendations, and support OpenAI’s engagement with French regulators and policymakers. Working closely with EMEA and global legal colleagues, as well as policy and regulatory affairs teams, you will take ownership of assigned French matters, translate complex legal questions into actionable advice and help ensure that our approach in France is consistent with OpenAI’s wider legal positions. Alongside your primary focus, you will also provide broader French country legal support, coordinating with specialist teams on local business and operational matters. We’re looking for someone who can take responsibility for matters, give practical advice, manage competing priorities and bring cross-functional work to a decision. You will work closely with EMEA and global legal colleagues, GA
As a Senior Security Engineer within Application Security at Datadog, you will help secure emerging application architectures where established security patterns may not yet exist, including agentic applications, LLM-enabled products, protocol-driven tool use, and untrusted execution environments. You will establish and validate security models, requirements, and controls while partnering with product and platform teams to develop secure-by-default approaches. Your work will address evolving trust boundaries, agent identity, data access, tool permissions, and runtime behavior through threat modeling, security solutions, and practical implementation. You will have the opportunity to shape how Datadog safely supports new application paradigms and address emerging security risks before they become systemic. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define security models, requirements, and guardrails for emerging application architectures where established patterns are incomplete or do not yet exist. Design, implement, and validate practical security controls that reduce risk in emerging architectures and high-risk system behaviors. Shape how emerging systems authenticate, authorize actions, isolate workloads, and access data, applying least-privilege principle
The Compliance Specialist, EMEA is a subject matter expert who owns employment, labor, and statutory compliance across the region (primarily France, Spain, Portugal, Netherlands, Ireland and UK). This is an individual-contributor role where you will be the region's go-to authority on People compliance, partnering closely with People Operations, Legal, People Business Partners and regional stakeholders to build and maintain compliant people processes that enable Datadog's continued growth in EMEA. You'll join a growing team - currently a Compliance Coordinator and an incoming Apprentice joining in September - and will work closely with them, bringing a more experienced, hands-on perspective to help scale the team's compliance capabilities across the region. This is a hands-on, operational role suited to someone who enjoys working in the details, partnering cross-functionally, and building a strong foundation of People compliance across multiple countries. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work life harmony that best fits them. What You'll Do: Own ongoing compliance with employment laws and regulations across EMEA, including tracking regulatory updates Own compliance oversight for employment contracts, health and safety in our offices Manage accommodation requests end-to-end Partner with People Opera
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