Software Engineer 3, Cloud Alerts Platform

MongoDB
DublinPosted 25 March 2026

Job Description

The database market is massive and MongoDB is at the forefront of its disruption. At MongoDB, we are transforming how developers build and run applications. Our distributed systems power mission-critical services used by thousands of customers around the globe. We are looking for a Software Engineer to join the Cloud Core Alerts Platform team, building scalable, fault-tolerant, and highly available systems that process millions of events and alerts in real time. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Our domain includes Alert Streaming Systems: Real-time alerting pipelines using Apache Flink and Amazon Kinesis, delivering critical insights for MongoDB Atlas customers Event Systems: SOA-based event platforms leveraging gRPC and streaming architectures to power the MongoDB activity feed at scale Communication Systems: Distributed services to deliver alert notifications through multiple channels (email, SMS, Slack, PagerDuty) with reliability and resilience Third-Party Integrations: Securely managing customer credentials and integrating with external observability providers, ensuring encryption at rest and in transit Cross-team Collaboration: Partnering with the broader Customer Observability teams to provide unified telemetry and monitoring experiences What you’ll do Design and build distributed systems that process millions of events per second with high availability and low latency Lead end-to-end projects from design to production, ensuring scalability, observability, and operational excellence Evolve our streaming alerting and eventing platforms, improving reliability, throughput, and developer experience Collaborate with cross-functional teams to integrate alerting, event, and communication services into the broader customer observability ecosystem Develop secure, multi-tenant integrations with third-party providers, handling sensitive customer credentials safely Champion best practices in distributed systems design, including resilience, scalability, and fault tolerance Mentor and guide other engineers, sharing expertise on distributed architectures and streaming technologies Who you are Familiar in distributed systems, with at least 2+ years of backend engineering experience (Java, Go, or similar) Familiar with service-oriented architectures (SOA) and inter-service communication using gRPC or REST Good understanding of AWS (or other hyperscalers), cloud networking, and infrastructure-as-code patterns Comfortable working in high-scale environments with millions of events and alerts per day A strong communicator, collaborator, and a problem solver Technologies we use Languages Frameworks: Java Streaming Messaging: Apache Flink, Amazon Kinesis, Kafka Service Frameworks: gRPC, Protobuf, REST Datastores: MongoDB, S3 Cloud Infrastructure: AWS, Kubernetes, Terraform Why Join Us Work on scalable distributed systems that directly impact thousands of global customers Be part of a team modernizing and evolving core observability services for MongoDB Atlas Collaborate with world-class engineers and leaders driving innovation in real-time alerting and event processing Enjoy a supportive, inclusive, and growth-oriented culture 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, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for t ... (truncated, view full listing at source)
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