软件和DevOps工程师
Software and DevOps Engineer
拥有75多年经验及全面的国际网络，Coface是信用保险和风险管理领域的全球领先企业。Coface也是企业信息、担保、政治风险、应收账款催收和保理方面的权威专家。我们帮助客户保障其业务，以建立更高效、更可靠的公司
由集团执行委员会多位成员直接支持，Data Lab 聚合了软件工程和数据科学的专业知识，设计、开发并部署可提升公司风险管理、业务流程、产品和服务的操作性解决方案。不断壮大的团队目前约有50名成员，主要位于巴黎，以及卡萨布兰卡、多伦多和班加罗尔
我们正在寻找一位将出色编码能力与技术领导力相结合的软件工程师。在该职位中，您将负责复杂项目，指导架构决策，同时构建用于数据管理、API开发和替代数据获取的稳健解决方案
您将参与的项目示例：
· 为大型国际客户利用我们的数据的API
- 全球范围内的网络爬虫和开放数据获取
- 替代数据获取以丰富风险模型和商业洞察
- 提升主数据管理以提高数据质量和治理
- 端到端交付AI驱动的解决方案：从数据管道到用户界面
- 构建和挖掘知识图谱
- 金融建模和模拟
- 工程师学位或同等学历，以及技术领导角色的经验
- 至少2年Python应用开发经验，具备高质量标准和代码审查与持续集成的良好实践
- 自主性、好奇心、团队合作和知识分享
- 英语沟通能力（在国际项目环境中）
- 期望技能：
- 熟悉Python生态系统和数据科学库
- 实施CI/CD流水线和Docker/Kubernetes部署
- 在云上部署应用和基础设施即代码
- 使用SQL和NoSQL数据库（MongoDB、Neo4j、ElasticSearch、Redis等）
- 前端编程（React或Angular或Vue.js等）
- Linux管理
- 您的任务：
- 领导API、数据管道和技术架构的设计和架构
查看英文原文
Avec plus de 75 ans d'expérience et un réseau international exhaustif, Coface est un acteur mondial de premier plan de l'assurance-crédit et de la gestion des risques. Coface est également un expert reconnu de l'information d'entreprise, de la caution, du risque politique, du recouvrement de créances et de l'affacturage. Nous aidons nos clients à sécuriser leurs activités pour construire des entreprises plus performantes, en toute confiance
Directly sponsored by several members of the Group Executive Committee, the Data Lab brings together expertise in Software Engineering and Data Science to design, develop, and deploy operational solutions that improve the company's risk management, business processes, products, and services. The steadily growing team now has around 50 members, mainly based in Paris, as well as in Casablanca, Toronto and Bangalore.
We are looking for a Software Engineer who combines excellent coding skills with technical leadership. In this role, you will own complex projects, guide architectural decisions while building robust solutions for data management, API development, and alternative data sourcing.
Examples of projects you will work on:
· APIs that leverage our data for major international accounts
- Web scraping and open data sourcing in all geographies
- Alternate data sourcing to enrich risk models and business insights
- Improving master data management for better data quality and governance
- End-to-end delivery of AI-powered solutions: from data pipelines to user interfaces
- Building and mining knowledge graphs
- Financial modeling and simulations
- Diplôme d’Ingénieur ou équivalent et expérience dans un rôle de lead technique
- Au moins 2 ans en développement d’application Python avec des standards de qualité élevés et la mise en œuvre de bonnes pratiques de revues de code et d’intégration continue.
- Autonomie, curiosité, travail en équipe et partage des connaissances
- Communication en Anglais (projets dans des contextes internationaux)
- Compétences souhaitées :
- Connaissance de l’écosystème Python et des librairies de Data Science
- Mise en œuvre de chaîne CI/CD et déploiement Docker/Kubernetes
- Déploiement d'application dans le cloud et infrastructure-as-code
- Utilisation de bases SQL et NoSQL (MongoDB, Neo4j, ElasticSearch, Redis…)
- Programmation front-end (React ou Angular ou Vue.js…)
- Administration Linux
- Your mission:
- Lead technical design and architecture for APIs, data pipelines, and integrations
- Ensure code quality through reviews, enforce CI/CD standards, and improve development workflows
- Drive data management initiatives, including master data governance and alternate data sourcing
- Collaborate with Data Scientists to integrate models into production systems
- Contribute to technology watch and propose innovative solutions
We are looking for a highly skilled professional with an engineering degree in Software Engineering (or equivalent).
· 2+ years of experience in deploying projects Strong programming skills required (Python mandatory), ideally with exposure to complementary technologies such as ReactJS and Java.
- Expertise in API design (FastAPI), data management, and database integration (MongoDB, Neo4j, ElasticSearch, Redis, Apache Airflow)
- DevOps culture, including production readiness, deployment automation, and monitoring (Kubernetes, CI/CD, Kibana, Grafana)
- English: interactions with teams all around the world
Other appreciated skills :
· Designing high-availability, low latency application architectures
- Familiarity with data science libraries (e.g., Pandas)
- Knowledge of Linux administration
- Cloud application deployment and infrastructure-as-code (AWS, GCP…)
- Front-end programming (React, Angular, Vue.js, etc.)
Additional Information
Recruitment process :
· Technical interview (video), including a review of the candidate's professional background — estimated duration: 1 hour
- Technical assessment in Python and DevOps without AI assistance, preferably in our offices — estimated duration: 3 hours
- Interview with the human resources department — estimated duration: 45 minutes
- Job offer
Hybrid position
Remote Work Benefits
All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work.
Language Training
Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages.
Remote Work Equipment
An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract.
Electric Bike Purchase
A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.