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The Director of Growth and Design leads the Product-Led Growth strategy at Redis, focusing on customer acquisition and retention through intuitive design and user experiences. Responsibilities include managing cross-functional collaborations, driving design leadership, mentoring teams, and utilizing data analytics to refine growth initiatives.

As a Cloud Software Engineer at Redis, you will develop API flows using Python, optimize cloud infrastructure, and integrate capabilities from major cloud providers. You'll also work on scalable architectures and deploy automated cloud infrastructure management tools as part of a dynamic engineering team.

As a Sales Specialist, you will drive adoption and growth of the Azure Redis Enterprise offering. Your role entails identifying migration opportunities, driving customer consumption, collaborating with Microsoft and internal teams, and mentoring colleagues, all while maintaining a robust sales pipeline.

As a Solutions Architect at Redis, you will work closely with customers to create tailored solutions utilizing Redis databases, assisting them in meeting technical and business requirements. You'll drive hands-on projects, collaborate with technical teams, and support sales by developing strategies and presenting Redis's capabilities effectively.

As a Workplace Experience Specialist, you will oversee the employee lifecycle, coordinate engagement efforts, manage office operations, and support remote employees, all while advocating for the company culture and values.

This role focuses on enhancing Redis' JSON module, developing new APIs, and maintaining key open-source modules while ensuring high performance and reliability. You will engage with the open-source community, contribute to code reviews, and drive continuous improvement and innovation.

Develop the next generation of the Redis database, lead features from design to deployment, debug and enhance Redis infrastructure, and collaborate with various teams. Requires hands-on C development experience and focus on performance in production-grade systems.