Kubernetes ML Engineer

**Job Title:** Big Data Integration / IoT Tech Lead **Location:** Reading, PA (Remote) **Job Summary:** We are seeking an experienced Big Data Integration / IoT Tech Lead to drive the design, development, and implementation of scalable IoT solutions and big data pipelines. The ideal candidate will lead a team of engineers, architect end\-to\-end data integration strategies, and ensure high\-quality, real\-time analytics for IoT devices and enterprise systems. **Key Responsibilities:** * Lead the architecture, design, and implementation of IoT platforms and big data integration solutions. * Design and implement data ingestion pipelines from IoT devices and external data sources into big data ecosystems (Hadoop, Spark, Kafka, AWS/Google Cloud Platform/Azure). * Ensure real\-time data processing, event streaming, and batch processing for high\-volume IoT datasets. * Define data models, storage strategies, and APIs for integration with enterprise systems and analytics platforms. * Lead, mentor, and guide a team of software engineers, data engineers, and IoT developers. * Collaborate with product managers, data scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions. * Ensure robust security, data privacy, and compliance standards for IoT and big data platforms. * Conduct performance tuning, optimization, and troubleshooting of data pipelines and IoT applications. * Implement monitoring, logging, and alerting for IoT devices and data pipelines. * Stay updated with emerging trends in IoT, big data, edge computing, and cloud technologies. **Required Skills \& Qualifications:** * Proven experience in IoT platforms, big data integration, and real\-time analytics. * Strong programming skills: Java, Python, Scala, or Node.js. * Experience with big data technologies: Hadoop, Spark, Kafka, Flink, or similar. * Hands\-on experience with cloud platforms: AWS IoT Core, Azure IoT Hub, or Google Cloud IoT. * Knowledge of RESTful APIs, MQTT, CoAP, OPC\-UA, and other IoT communication protocols. * Strong understanding of data modeling, ETL/ELT processes, and streaming analytics. * Experience in deploying and scaling distributed systems and microservices. * Strong leadership, mentoring, and project management skills. * Excellent problem\-solving and communication skills. **Preferred:** * Experience with AI/ML integration for IoT analytics. * Knowledge of edge computing frameworks and sensor data analytics. * Familiarity with DevOps practices and containerization (Docker, Kubernetes). **For applications and inquiries, contact:** hirings@openkyber.com