Software Engineer 3, Cloud Alerts Platform
Indexed description
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
- 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
- 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
- Languages & Frameworks: Java
- Streaming & Messaging: Apache Flink, Amazon Kinesis, Kafka
- Service Frameworks: gRPC, Protobuf, REST
- Datastores: MongoDB, S3
- Cloud & Infrastructure: AWS, Kubernetes, Terraform
- 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
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273394177
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