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
Join a small engineering team at a Series A logistics technology company, building partner-facing integrations and data-heavy distributed systems for temperature-controlled and high-value shipments. Your work will help logistics teams understand shipment conditions, assess risk, and respond to exceptions.
WHAT YOU'LL DO
- Design, build, and own end-to-end data flows across partner APIs, webhooks, carriers, sensors, and other vendors.
- Develop backend services that ingest, normalize, contextualize, and process operational and IoT data.
- Build systems that support real-time shipment risk analysis, on-time and in-full prediction, and automated exception workflows.
- Maintain reliable data pipelines through warehousing, monitoring, observability, and on-call support.
- Work independently as a senior individual contributor, collaborating with a small team to deliver scalable, dependable integrations.
WHAT WE'RE LOOKING FOR
- At least 5 years of backend engineering experience building scalable distributed systems, including 10 or more years building production data pipelines.
- Hands-on proficiency in Python and TypeScript or Node.js, plus SQL and relational data modeling.
- Experience with external partner integrations, multi-vendor ingestion, config-driven transformations, and production data flows.
- Knowledge of IoT data ingestion and contextualization, event-driven architecture, and messaging systems such as Kafka or RabbitMQ.
- Experience with REST or gRPC APIs, Docker, Kubernetes, and a cloud platform such as AWS, GCP, or Azure.
- Strong software engineering practices, including testing, CI/CD, monitoring, and observability.
- Logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data experience is beneficial.
COMPENSATION & BENEFITS
Base salary is $130,000 to $160,000 annually, plus equity and a cash bonus. Visa sponsorship is available.
LOCATION
Remote within the United States.