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.
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 Senior 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.
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- Experienced in distributed systems, with at least 6+ years of backend engineering experience (Java, Go, or similar)
- Skilled in streaming data pipelines, ideally with Apache Flink, Kafka, or Kinesis
- Familiar with service-oriented architectures (SOA) and inter-service communication using gRPC or REST
- Strong understanding of AWS (or other hyperscalers), cloud networking, and infrastructure-as-code patterns
- Knowledgeable in encryption, authentication, and secure data handling for multi-tenant SaaS systems
- 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
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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID:
MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB's base salary range for this role in the U.S. is:
$118,000-$231,000 USD
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