Top Software Engineer Jobs in Paris

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.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

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

Join a mobile engineering team to develop native Android/iOS applications using Kotlin Multiplatform. Collaborate on code quality, peer reviews, and complex functionalities for an engaging learning experience.

As a Software Engineer at Datadog, you'll solve scaling bottlenecks, deploy features, fix production issues, and design scalable architecture in a collaborative, fast-paced environment.

The role involves designing and implementing features for software lifecycle management, improving developer experience, and delivering high-quality work.

The Software Engineer will enhance the Data Catalog and scale data governance tools, focusing on backend services and performance challenges.

The Software Engineer will design, build, and deploy tools for managing Flink jobs, contributing to data processing infrastructure and open-source development at Datadog.

Design and maintain infrastructure to support high customer volume, troubleshoot issues, and automate operations for scalable services.

This role involves designing and implementing developer tools for VS Code and Cursor, integrating Datadog's services to enhance developer workflows.

Seeking a Software Engineer for REDAPL team to design and maintain scalable backend systems, ensuring resilience and high performance for infrastructure data processing.

The role involves designing and implementing distributed systems for data connectivity, leading technical discoveries, and collaborating across teams to optimize backend services.

Design and develop high-scale model serving systems for ML across multiple data centers with a focus on observability and reliability. Collaborate on performance optimization and enable self-service tools for model deployment and testing.

The job involves designing and building systems for automated AI model evaluation, developing benchmarks, and ensuring trust and safety across Datadog's AI products.

Design and implement scalable systems for ML training and model management, improve experimentation workflows, and mentor other engineers.

As a C++ Software Engineer, optimize LiDAR technology through system optimization, software architecture design, and tool development for enhanced performance.

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

As a Staff Software Engineer, you'll lead the design and delivery of critical systems, ensure efficient performance at scale, and oversee key architectural decisions.

Design and build a scalable AI platform for training and deploying models, collaborating with teams for experiments and tooling development.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Join a team to build frontend components for healthcare technology, ensuring performance and accessibility while collaborating in an agile environment.

Support feature creation, testing ideas with users, and work with the optimization team to enhance product functionality and customer experience.

As a Fullstack Software Engineer, you will develop and enhance Pennylane's platform using Ruby on Rails and React, ensuring efficient solutions for SMEs and accountants. You will collaborate with your squad and contribute to features while growing your technical skills and responsibilities within a supportive team.

Design and develop AI-assisted tools for software development, working closely with designers, PMs, and data scientists, and iterating based on user feedback.

The role involves designing and optimizing data pipelines, supporting Snowflake performance, collaborating for data governance, and contributing to a modern data platform.