Top Software Engineer Jobs in Paris

Lead development of tooling and platforms to improve on-call, incident response, and postmortem processes. Mentor engineers, run cross-functional reliability initiatives, analyze incidents to drive systemic improvements, and embed best practices for operational excellence.

Design, build, and optimize backend services for data gathering, processing, and delivery. Define and maintain service contracts, ensure high test coverage, observability, and documentation. Make architectural decisions for distributed systems, collaborate with product teams, and maintain/ improve an existing Kotlin/Java codebase.

Lead backend development of Diabolocom's Voice Squad, building and optimizing core telephony services (call routing, media handling). Design and implement distributed systems, refactor for scalability and faster delivery, work across Java/Kotlin/Go, Spring Boot, PostgreSQL, RabbitMQ, Redis, Docker. Mentor teammates, own architectural decisions, improve existing codebase, and drive high-performance, reliable voice platform.

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.

Develop and maintain Joybuy backend services for European retail markets, emphasizing high performance, availability, concurrency, security, scalability, and global integration. Mitigate technical risks, implement monitoring and rollback strategies, research and adopt new technologies, and collaborate with product teams across marketing, fulfillment, and supply chain.

Lead architecture and backend development for international core systems, ensuring high availability, concurrency, security, and scalability. Design Java/Spring Boot services, optimize performance, integrate MySQL/Redis/Kafka, manage technical risk, drive productization, mentor engineers, and coordinate with suppliers and product teams. Onsite role in London supporting European operations.

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.

Lead design and development of low-level Linux instrumentation and runtime security using eBPF and kernel APIs. Build reusable monitoring for process, file, and network visibility, ensure performance and reliability, drive feature delivery and testing, and provide technical leadership across product and engineering teams.

Build and own internal AI platform surfaces and infrastructure end-to-end: Cortex UX, platform services, deployment pipelines, observability, governance, and developer tooling to enable teams and agents to build and operate AI-powered features.

Lead architecture and development of a low-latency trading stack focused on data infrastructure and control workflows. Design high-performance datastores, build a data platform for quantitative research, create control tools to safeguard operations, own systems end-to-end, and mentor engineers while collaborating closely with researchers.

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.

Own and build high-impact dashboards and reporting features end-to-end. Design and ship fast, intuitive front-end experiences, collaborate with Product & Design, improve data understanding and trust, raise frontend quality and performance, and explore AI-enhanced product capabilities.

Join the Incidents Squad to build, scale, and stabilize LLM-powered features across the incident lifecycle. Implement agentic workflows, improve reliability, latency, robustness, observability, and productionize AI systems while partnering with ML engineers and shaping platform orchestration and performance.

Join the engineering team to design, implement, and maintain automated end-to-end and performance tests. Drive CI integration, coach developers on test ownership, build custom testing tools, and produce clear bug reports to improve test coverage, stability, and delivery reliability.

Build and maintain high-performance Python backend services powering recommendations, search, and content APIs. Develop low-latency, real-time data-processing systems, optimize scalability and reliability, collaborate with product and data science to operationalize models, and improve CI/CD and observability.

Design, build, maintain and evolve backend systems and APIs. Contribute to technical design, code reviews, testing, CI/CD, performance optimization, documentation, and Agile delivery within a collaborative team.

Join the team to design and develop backend and frontend features using Django/Python and React. Produce production-quality code, implement new features, work with PostgreSQL, DynamoDB, Redis, Kubernetes and AWS, and follow agile weekly releases. On-site in Paris with initial training in Barcelona.

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.

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

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.

The Backend Engineer will design scalable infrastructure for AI research tools, collaborate on optimizing system performance, and own evaluation pipeline automation.