.Sr. Software Development Engineer, RBKS AI Data Management Job ID: 2725030 | AMZN Dev Cntr Poland sp. z.O.OThe Ring, Blink, Key and Sidewalk (RBKS) AI Data Management team is responsible for ensuring efficient data annotation, delivery, and capacity planning to support our growing AI initiatives. As we continue to scale, there is a critical need to automate manual processes, streamline data delivery, and optimize resource allocation. To help drive these transformative changes, we are seeking an experienced Senior Software Development Engineer to lead the design and implementation of innovative, scalable data solutions.In this role, you will work across multiple SDE organizations, Applied Science teams, and partner groups to build flexible, resilient data pipelines that enable our researchers to access high-quality training data just-in-time. Your technical leadership and strategic vision will be instrumental in reducing manual annotation efforts, improving data delivery turnaround times, and enhancing our capacity planning capabilities.As an Sr SDE, you will excel at solving ambiguous, complex problems and proactively mitigating risks before they become roadblocks. You will be a highly autonomous, data-driven engineer, regularly reviewing metrics and experimenting with new approaches to increase the reliability and efficiency of our data workflows. Importantly, you will also ensure your technical work remains tightly aligned with the organization's overarching AI and data management strategy.This role requires exceptional technical skills, strong business acumen, and the ability to influence and build consensus across diverse, cross-functional teams. Your primary focus will be on delivering innovative data solutions while simultaneously improving the long-term flexibility and maintainability of our data ecosystem.Key job responsibilities Tactical:Conduct a comprehensive analysis of existing annotation workflows and develop/implement automation tools to streamline manual tasks.Design and deploy scalable, fault-tolerant data collection, annotation, and delivery pipelines to support the growing needs of our Applied Science teams.Collaborate with SDE, Data Engineering, and Applied Science teams to define requirements and ensure seamless integration of data solutions.Automate data workflows and build reusable, self-service capabilities to increase the speed and agility of our data delivery.Proactively identify and mitigate technical risks, demonstrating solid judgment in determining when to escalate.Foster a culture of testing, monitoring, and continuous improvement across data systems.Strategic:Develop the long-term technical strategy and roadmap for the Data Management ecosystem, aligning with the organization's vision of delivering data for AI models with minimal manual intervention.Assess emerging technologies and data management trends, and evaluate their potential impact on our data architecture and delivery capabilities
