Engineering Manager, Cloud Storage
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About the role
As an Engineering Manager for Cloud Storage, you will lead the core team responsible for the data backbone of our platform. We are looking for a platform-minded leader to manage an ecosystem that encompasses everything from SQL (Aurora, Postgres, SQL Server) and NoSQL (Redis, DynamoDB) to Search Engines (OpenSearch, Apache Solr) and Object Storage. You will manage a squad of infrastructure and software engineers, acting as a true Platform Engineering team. Your ultimate mission is not just to keep the databases running flawlessly, but to drastically increase developer velocity. You will achieve this by building autonomous "storage-as-a-service" environments, creating self-service tooling, and maintaining the integration libraries and SDKs that allow our product squads to ship features faster and with confidence.
Responsibilities
- Manage, mentor, and grow a mixed team of software and infrastructure engineers, fostering a culture of technical excellence and automation.
- Build the strategic roadmap for our entire storage ecosystem, defining architecture patterns, capacity planning, and the evolution of our SQL, NoSQL, Search, and Object Storage solutions.
- Treat infrastructure as a product. Oversee the development of integration libraries, APIs, and "golden paths" that reduce cognitive load for developers and accelerate product delivery.
- Guarantee high availability, performance, and resilience across all data layers in a large-scale, high-volume environment.
- Identify operational bottlenecks and create a backlog focused on replacing manual requests with automated, self-service solutions.
Requirements
- You have strong background in Software Engineering and Platform/Infrastructure engineering , knowing how to apply software principles to operations.
- You are a seasoned Engineering Manager with a proven track record of managing people, performance, and delivering complex technical projects.
- You have deep, hands-on experience dealing with massive scale across diverse data engines: Relational (e.g., PostgreSQL, Aurora), NoSQL (e.g., DynamoDB, Redis), Search (e.g., OpenSearch, Solr), and Object Storage.
- You understand that your customers are other developers. You have experience maintaining integration libraries or internal developer platforms.
- You are hands-on and curious about using AI/LLMs, automation, and modern dev tools to boost your team's speed and quality, while staying thoughtful about responsible use.
- Fluent English: You are capable of collaborating and communicating effectively in a global environment.
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