高级 Python 后端开发工程师 / 平台工程师-远程
Senior Python Backend Developer / Platform Engineer- remote
Mission
设计、开发和维护可扩展的后端服务、安全的微服务以及基于云的平台组件,以支持高性能的AI应用。确保AI解决方案、企业系统和云基础设施之间的可靠性、安全性、可扩展性和无缝集成。
Responsibilities:
- 设计和开发高度可扩展、高弹性和安全的微服务和RESTful/GraphQL API。
- 构建和维护支持AI平台和应用的后端服务。
- 将业务数据库、第三方服务和内部遗留平台与AI引擎集成。
- 优化后端性能、延迟和资源利用率,以支持实时AI推理和模型托管。
- 实现企业级安全控制,包括认证、授权(RBAC)和速率限制。
- 建立并推广开发最佳实践、代码规范和代码质量流程。
- 创建和维护集成和自动化测试,以确保应用的可靠性。
- 进行代码审查并支持工程质量管理计划。
- 与AI工程师合作,在容器化环境中部署AI模型和服务。
- 设计和实现利用AWS和其他云平台的云原生解决方案。
- 支持生产系统的部署、监控和维护。
Professional Experience
- 5-10年后端工程、软件工程、平台工程或相关领域的经验。
- 有构建可扩展、高弹性和安全的企业应用的实操经验。
- 有设计云原生架构和分布式系统的经验。
- 有在敏捷软件开发环境中的工作经验。
Technical Skills
- 精通Python和Node.js编程。
- 熟悉AWS云服务。
- 有设计和开发RESTful API和/或GraphQL服务的经验。
- 对微服务架构有深入理解。
- 有将应用程序与数据库、企业系统和外部API集成的经验。
- 有实现认证和授权机制的经验,包括RBAC。
- 熟悉容器化技术和Docker环境。
- 有使用开发最佳实践的经验:
- Git
- CI/CD流水线
- 自动化测试
- 代码审查
- 版本控制
Nice to Have
- 有使用Azure云服务的经验。
- 有支持AI/ML平台或AI驱动的应用程序的经验。
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Mission
Design, develop, and maintain scalable backend services, secure microservices, and cloud-based platform components that enable high-performance AI applications. Ensure reliability, security, scalability, and seamless integration between AI solutions, enterprise systems, and cloud infrastructure.
Responsibilities:
- Design and develop highly scalable, resilient, and secure microservices and RESTful/GraphQL APIs.
- Build and maintain backend services that support AI platforms and applications.
- Integrate business databases, third-party services, and internal legacy platforms with AI engines.
- Optimize backend performance, latency, and resource utilization to support real-time AI inference and model hosting.
- Implement enterprise-grade security controls, including authentication, authorization (RBAC), and rate limiting.
- Establish and promote development best practices, clean code standards, and code quality processes.
- Create and maintain integration and automated tests to ensure application reliability.
- Conduct code reviews and support engineering quality initiatives.
- Collaborate with AI Engineers to deploy AI models and services in containerized environments.
- Design and implement cloud-native solutions leveraging AWS and other cloud platforms.
- Support the deployment, monitoring, and maintenance of production systems.
Professional Experience
- 5-10 years of experience in Backend Engineering, Software Engineering, Platform Engineering, or related fields.
- Proven experience building scalable, resilient, and secure enterprise applications.
- Experience designing cloud-native architectures and distributed systems.
- Experience working in Agile software development environments.
Technical Skills
- Strong programming skills in Python and Node.js.
- Hands-on experience with AWS cloud services.
- Experience designing and developing RESTful APIs and/or GraphQL services.
- Strong understanding of microservices architecture.
- Experience integrating applications with databases, enterprise systems, and external APIs.
- Experience implementing authentication and authorization mechanisms, including RBAC.
- Knowledge of containerization technologies and Docker environments.
- Experience with development best practices:
- Git
- CI/CD pipelines
- Automated testing
- Code reviews
- Version control
Nice to Have
- Experience with Azure cloud services.
- Experience supporting AI/ML platforms or AI-powered applications.
- Experience working in Financial Services or Insurance environments.
- Familiarity with high-availability and high-performance distributed systems.
Benefits
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical insurance
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings
Inetum is a European leader in digital services. For businesses, public sector organizations, and society as a whole, the group’s 26,000 consultants and specialists work every day to create tangible digital impact: solutions that contribute to performance, innovation, and the common good.
With a presence in 19 countries, working closely with local communities, and alongside its major software developer partners, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum champions a vision of technology that is useful and well-managed, capable of unlocking the full potential of organizations and society: “Let’s make tech right.”
In 2025, the group generated revenue of 2.2 billion euros.
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Originally posted on Himalayas