Top Software Engineer Jobs in Lille

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.

Design and develop Marketplace platform features, maintain APIs, build OS image and packaging tools, automate image and container manufacturing, and manage application artifacts. Support external publishers, ensure artifact security through CI/CD and scanning, contribute to architecture, and collaborate with product and engineering teams on innovative technical initiatives.

The Software Engineer will develop high-performance, real-time haptic systems, designing and optimizing engine components, and collaborating across teams for integration.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

Join Speechify's Core Experiences Team as a Senior Software Engineer to build foundational services and SDKs. Collaborate with product teams, optimize functionalities, and ship backend services using Kotlin.

Build and architect high-performance advisory brokerage services for block trading, portfolio management, and IRA products. Develop frontend and backend systems, databases, and distributed architectures with strong concurrency, scalability, availability, and low-latency performance. Design order management and financial transaction systems while contributing across the technology stack in an early-stage environment.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Design and operate customer-facing networking APIs, Python orchestration control planes, and automation that configures routers across global points of presence. Build resource allocation, job queues, retries, rollback, reconciliation, BGP, WireGuard, GRE, NAT, firewall, DNS, cloud interconnect, and Envoy xDS integrations. Own production monitoring, incident response, billing synchronization, API compatibility, and network configuration drift detection across application and infrastructure layers.

Build and optimize performance-critical backend systems processing millions of real-time records. Design and improve Pigment’s formula and query engine, develop services primarily in C# and .NET Core, contribute to React frontend features, and address scalability, performance, reliability, and architecture challenges. Collaborate with product managers and engineers across the application lifecycle while delivering user-focused solutions and maintaining the production platform.

Build and maintain Camunda 8 backend data-layer services across relational databases and Elasticsearch/OpenSearch. Design scalable storage, query, retention, streaming, and secondary-storage solutions; investigate production data issues; improve performance and operability; and deliver engineering initiatives collaboratively with Product, QA, Support, and SRE. Participate in L3 support and on-call rotations.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Provide technical support for applications: investigate and resolve issues, develop and implement interfaces, create support documentation, collaborate with Design/Test/Dev teams, estimate resources, and monitor project performance.

Investigate and resolve verified application issues, develop and implement interfaces, create technical support documentation, collaborate with design, test and development teams, provide user support, estimate resource timings, and monitor project performance to meet goals.

Design and build scalable backend systems for PlanetScale's database platform (Vitess/Postgres), collaborate on distributed systems challenges, work autonomously and with customers, optimize performance, and mentor engineers while operating systems at production scale.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Build and maintain high-performance, production-grade UIs using React and TypeScript. Collaborate with backend engineers and product managers to design APIs, implement AI-driven features, and develop advanced, real-time data visualizations while contributing to the internal design system and optimizing performance.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

Design, implement, and maintain cross-platform C++ features for Multipass on macOS and Windows. Lead architecture, mentor peers, write high-quality tested code, review contributions, debug user issues, collaborate with a distributed team, engage the open-source community, and support customers.

Build and improve Mozilla’s Add-ons platform, including moderation pipelines, Reviewer tools, DevHub, internal developer platforms, and production services. Establish engineering standards, improve CI/CD and infrastructure-as-code practices, implement observability and reliability systems, troubleshoot complex issues, document architecture and operations, and collaborate with distributed engineering, product, QA, design, and community teams.

Design, build, and ship AI-powered product features from prototype through production. Own architecture, model selection, integrations, evaluation, reliability, cost, and latency. Work across frontend, backend, and infrastructure while establishing reusable AI development practices. Collaborate with engineering and product teams to define requirements, identify risks, and deliver maintainable, monitored, production-ready systems using LLMs, embeddings, RAG, vector databases, and multiple providers.