MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are seeking a Lead Engineer to join our Cloud Observability Team. This diverse group of engineers is responsible for building the systems which monitor the performance and health of our customers’ MongoDB deployments. Their tools provide diagnostic metrics and valuable insights like schema and index suggestions, to ensure our customers are getting the most out of MongoDB. As the founding member and lead of a new team within Observability, you will focus on developing time series diagnostics products for the core MongoDB database experience. You will leverage technologies being developed by others within Observability and across MongoDB to rebuild and enhance our core diagnostic products.
This role can be based out of our Dublin office region.

• Build and support a team of motivated Individual Contributors who are eager to learn and grow
• Contribute to the code, design, and architecture of the systems your team develops
• Work with stakeholders throughout MongoDB to refine our roadmap and product offerings
• Foster an inclusive and respectful work environment according to MongoDB’s Core Values