Lead Engineer, Observability

We are seeking a Lead of Engineering to join the Observability team within MongoDB. This is an opportunity to join a team that is responsible for all Observability systems that support operational metrics, visualization, logs, traces, and alerts to monitor the performance and health of our customers' MongoDB deployments. We are looking for a leader that is results focused, with high standards, and experience in leading engineers in designing, building and operating complex distributed systems at scale, with strict SLO on security, durability, availability and performance. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Lead and coach 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 product managers, program managers, and other engineering teams to specify, prioritize and deliver new features that delight our users, internally and externally Estimate task complexity, report progress, and voice risks for projects executed by the team Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Drive best practices for monitoring, reliability, and performance of observability services in production Actively participate in growing the team by hiring Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professional software development experience Has at least 3 years of people management experience Has led engineering teams that have built and maintained large scale systems Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, Rust, C, etc.) Good understanding of algorithms, data structures and their time and space complexity Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Is eager to solve tough problems and debug tricky production outages Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Observability team and have contributed minor tasks within our codebase In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, glo ... (truncated, view full listing at source)