Top Software Engineer Jobs in Paris

As a Full Stack Developer, you will build and deploy features, manage database policies, and collaborate with teams in an Agile environment.

Join a team of engineers to work on a complex codebase while utilizing MongoDB, Node.js, and Vue.js. Responsibilities include developing and improving functionalities, collaborating within squads, and onboarding new engineers.

Lead the Website squad in developing and optimizing a high-performance marketing site while mentoring junior developers and making architectural decisions.

Drive object squad projects from design through implementation, ensuring high-quality software development, collaborating with teams, and maintaining distributed systems.

As a Software Engineer in the Storage Squad, you'll design, develop, and test features for storage systems, focusing on system programming and distributed systems.

Lead projects to improve usage of Datadog’s platform, enhance security, and build internal tools while collaborating with various teams.

Lead the technical direction of the user analytics platform, architect backend systems for product analytics workloads, and mentor engineers.

Join Sanofi's Commercial Accelerator as a Software Engineer, designing software solutions, collaborating with teams, and ensuring system reliability and scalability.

The role involves designing and implementing scalable full-stack solutions using OpenAI's APIs, collaborating with customers, and driving project success. Requires extensive customer-facing experience and engineering expertise.

Join Mistral AI as a Software Engineer focusing on secure coding and systems development, working on model deployment and performance optimization.

Join QRT's data infrastructure team to design and implement data services. Collaborate on coding best practices and optimize performance for large-scale data systems.

As a DevOps/Platform Engineer, you will design and implement systems, optimize data pipelines, and collaborate with researchers to enhance productivity.

As a Software Engineer, you will deploy models, integrate APIs, enhance infrastructure, ensure AI safety, optimize resources, and maintain high service availability.

As a Software Engineer, you will develop and maintain backend features, ensuring system architecture is efficient and secure, while collaborating with cross-functional teams and tackling complex challenges.

The role involves building migration tools, analyzing customer data for trends, maintaining data pipelines, and collaborating closely with customers to ensure satisfaction.

Design, develop, and maintain backend geospatial services using C# and cloud technologies. Manage databases and implement APIs and CI/CD pipelines.

Responsible for designing and implementing frontend features for an insurance pricing solution, ensuring responsiveness, and collaborating with clients and teams.

Develop full stack features in Java, Spring Boot, Python, and Angular for a SaaS insurance pricing platform while collaborating with product teams on infrastructure and feature implementations.

Develop and maintain services for HPC Research Platform, focusing on scalability and reliability of compute workflows while collaborating with researchers.

As a Full-stack Developer Intern, you will design and ship a modern web UI to monitor job pipelines using Python and AWS, gaining mentorship from industry professionals.

Develop next-generation payment technologies, lead projects, design scalable systems, and collaborate across teams to deliver high-quality code and impact through software engineering.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.