Top Software Engineer Jobs in Paris

Lead the development of Runware's serverless platform by building core systems for AI workload management and providing technical guidance to the team.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Develop motion planning, decision-making, vehicle control, and estimation algorithms for autonomous vehicles. Implement real-time C++ on embedded automotive hardware, build Python and C++ simulation tools, integrate planning with perception, validate software on vehicles, analyze field data, define safety metrics, and improve driving behaviors. The role requires strong software fundamentals, robotics or controls expertise, and experience deploying production-quality systems.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Design and develop ranking and understanding features for search relevance. Build and maintain production pipelines and API services handling large datasets and high traffic. Collaborate with frontend and ML specialists, ensure code quality, automated testing, and reliability. Operate on major cloud providers and apply data-driven decisions to improve search relevance and user experience.

Design, build, test, monitor, and troubleshoot scalable customer-facing payment and compliance services. Lead architecture and code reviews, develop third-party compliance integrations, implement regulatory rules, own products through production support, and collaborate with engineering, infrastructure, QA, and product teams. Mentor peers, drive technical consensus, and connect engineering decisions to business value within a microservices-based platform.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Define the multi-year technical vision for Algolia’s frontend platform and lead architecture across the Dashboard, shared component libraries, public SDKs, and frontend products. Design scalable, highly available, performant solutions; establish API, versioning, compatibility, and engineering standards; drive cross-team adoption; and mentor engineers. The role requires deep frontend expertise alongside full-stack understanding, with an interest in conversational and agentic interfaces.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Improve Firefox Gecko’s Session History health by writing Web Platform Tests and Gecko mochitests, fixing test failures and code issues, debugging a mature browser-engine codebase, and collaborating through code review and upstream landing.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Own the architecture and development of a unified TypeScript booking layer integrating healthcare software, including EHR, PMS, and RIS systems. Build reliable, scalable backend integrations handling over one million calls monthly, improve failure detection, and establish engineering practices for reviews, documentation, and technical decisions. Work closely with operations and support, lead integration delivery from vendor connection through production, and help grow the integrations team.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Design, implement, and operate fault-tolerant distributed systems and foundational platforms at internet scale. Build horizontally scalable, multi-tenant services that ingest, store, analyze, and query billions of events per second. Develop backend systems using Go, Java, Rust, or C++, alongside Kafka, Redis, Cassandra, Elasticsearch, and other open-source technologies. Own production services, optimize durability, availability, latency, performance, and operability, and use AI coding tools effectively.

Design, implement, test, and ship Firefox security and hardening features for enterprise users. Improve browser security architecture across operating systems, including privilege isolation, trust boundaries, cryptographic protocols, WebPKI, and security-sensitive web APIs. Investigate security issues, deliver maintainable fixes, and resolve stability, correctness, performance, memory, and multithreading challenges in a complex cross-platform codebase.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Build and operate a reliable evaluation framework for computer-use agents and AI models. Responsibilities include benchmark integration, orchestration, scheduling, observability, reproducible testing, distributed-system scaling, APIs, external integrations, and customer-driven evaluation automation. The role partners closely with researchers and forward-deployed engineers and may involve cluster tuning, browser extensions, desktop environments, and ownership of evaluation-system components.

Build and operate a scalable evaluation framework for computer-use agents and AI models. Responsibilities include benchmark integration, orchestration, scheduling, observability, reproducible trials, distributed systems operation, API and external-service integrations, customer collaboration, and framework standards. The role requires production backend development in Python, Kubernetes and public-cloud experience, database and messaging knowledge, and end-to-end system ownership.

Build and improve Modash’s large-scale creator search system across retrieval, indexing, ranking, embeddings, relevance, and low-latency serving. Own initiatives end to end, from requirements and architecture through implementation, production deployment, measurement, and iteration. Develop multimodal search capabilities using image, video, text, audio, LLMs, and vector search. Collaborate with data, product, customers, and leadership while balancing quality, cost, latency, and reliability.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Develop and maintain secure, high-performance iOS SDKs and applications for digital payments, wallets, and authentication. Responsibilities include architecture, Swift development, testing, CI/CD, production support, performance optimization, certification activities, troubleshooting, code reviews, and collaboration with cross-functional engineering teams. The role also includes mentoring developers and contributing to technical planning and architectural decisions.

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.