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As a Database Reliability Engineer, you will implement automation for managing petabyte-scale databases, improve observability through monitoring and logging, assist teams in decoupling databases, lead incident resolutions, and mentor junior engineers.

As a Software Engineer III in Engineering Automation, you will tackle complex engineering problems, design effective solutions, and ensure robust system implementations. You will work with modern developments in languages like Java and Python, utilize cloud-native architecture, and engage in continuous integration practices while collaborating closely with other teams to influence product development.

As a Software Engineer III at Wayfair, you will lead the architecture and development of scalable platforms for the supplier ecosystem. Your responsibilities include collaborating across teams, implementing engineering best practices, mentoring engineers, and making critical design decisions to enhance performance and scalability of platforms. You will also engage in technical debates while nurturing collaborative working practices.

As a Senior Software Engineer within the Engineering Effectiveness team, you will influence system design and architecture, collaborate on scalable solutions, develop automation tools, mentor team members, and promote engineering excellence across the organization.

Lead the strategy and execution of data platforms, including data movement, analytics, and cloud solutions. Oversee product lifecycle and collaborate with cross-functional teams while mentoring product managers to drive innovation and meet user needs.

The Senior Product Manager will lead the development of technology solutions for GenAI capabilities, focusing on improving customer and supplier experiences, transforming business processes, and enhancing workforce productivity. Responsibilities include conducting research, developing product roadmaps, and prioritizing features based on business value and technical feasibility, while serving as a liaison with senior leadership.

The role involves designing solutions for complex engineering problems, focusing on backend development for model training and deployment tools using GCP and Kubernetes, while collaborating closely with interdisciplinary teams to optimize machine learning workflows.