高级集成工程师
Senior Integrations Engineer
关于该职位
这是一个小规模集成团队中的高级个人贡献者职位，负责构建用于全球制药和易腐货物承运商的冷链风险管理平台的后端服务和数据密集型分布式系统。你将负责从多供应商物联网数据采集和标准化，到数据仓库、可观测性及值班支持的端到端合作伙伴数据流程，并直接影响运输可靠性及产品损失预防。
你将负责的工作
- 设计并构建能够对物联网监控数据进行上下文分析并实时量化运输风险的后端服务。
- 负责跨API、网络钩子、队列、承运商数据流、传感器和供应商系统的外部合作伙伴面向的操作数据集成。
- 构建预测系统以实现准时、完整（OTIF）结果，并自动化异常处理流程。
- 维护合作伙伴数据管道的生产环境所有权，包括数据标准化、数据仓库、可观测性和值班响应。
- 使用消息系统如Kafka或RabbitMQ，参与事件驱动架构的构建。
- 在云基础设施（AWS、GCP或Azure）上使用Docker和Kubernetes部署和运行容器化服务。
- 与领导层和跨职能团队紧密合作，以初创公司节奏交付高影响力的工作。
我们寻找的人选
- 5年以上构建可扩展、数据密集型分布式系统的后端工程经验。
- 精通Python和TypeScript/Node.js；具备扎实的SQL和关系型数据建模技能。
- 具有主导外部合作伙伴面向操作数据集成的经验（非仅限内部、DevOps、ETL或全栈工作）。
- 具有物联网数据采集、处理和上下文分析的经验。
- 对API设计和开发（REST和/或gRPC）有扎实的理解。
- 具有事件驱动架构和消息系统（Kafka、RabbitMQ或类似）的经验。
- 熟悉Docker和Kubernetes，以及在AWS、GCP或Azure上部署服务的经验。
- 具备扎实的软件工程实践：测试、CI/CD、监控和可观测性。
- 能够在精简团队中独立作为高级个人贡献者工作。
- 具有物流、冷链、供应链或物联网领域知识是加分项。
- 具有NoSQL数据库、ETL流程或受监管行业中的数据安全和隐私考虑经验是加分项。
- 具有成长阶段初创公司的经验是加分项。
查看英文原文
ABOUT THE ROLE
This is a senior individual contributor role on a small integrations team, building the backend services and data-heavy distributed systems behind a cold-chain risk-management platform used by pharma and perishables shippers worldwide. You will own end-to-end partner data flows, from multi-vendor IoT ingestion and normalization through warehousing, observability, and on-call support, with direct impact on shipment reliability and product loss prevention.
WHAT YOU'LL DO
- Design and build backend services that contextualize IoT monitoring data and quantify shipment risk in real time.
- Own external partner-facing operational data integrations across APIs, webhooks, queues, carrier feeds, sensors, and vendor systems.
- Build predictive systems for on-time, in-full (OTIF) outcomes and automate exception-handling workflows.
- Maintain production ownership of partner data pipelines, including normalization, warehousing, observability, and on-call response.
- Contribute to event-driven architectures using messaging systems such as Kafka or RabbitMQ.
- Deploy and operate containerized services on cloud infrastructure (AWS, GCP, or Azure) using Docker and Kubernetes.
- Collaborate closely with leadership and cross-functional teammates, shipping high-leverage work at startup pace.
WHAT WE'RE LOOKING FOR
- 5 or more years of backend engineering experience building scalable, data-intensive distributed systems.
- Hands-on proficiency in Python and TypeScript/Node.js; strong SQL and relational data modeling skills.
- Primary experience owning external partner-facing operational data integrations (not internal-only, DevOps, ETL-only, or general full-stack work).
- Experience with IoT data ingestion, processing, and contextualization.
- Solid grasp of API design and development (REST and/or gRPC).
- Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, or similar).
- Hands-on experience with Docker and Kubernetes, and deploying services on AWS, GCP, or Azure.
- Strong software engineering practices: testing, CI/CD, monitoring, and observability.
- Ability to operate independently as a senior IC on a lean team.
- Domain knowledge in logistics, cold chain, supply chain, or IoT is a strong plus.
- Experience with NoSQL databases, ETL pipelines, or data security and privacy considerations in regulated industries is a plus.
- Prior experience at a growth-stage startup is a plus.
COMPENSATION & BENEFITS
Base salary: $130,000 to $160,000 USD annually, plus equity and a cash bonus. Visa sponsorship is available.
LOCATION
Fully remote, US-based.