MongoDB
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.
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.
Domain
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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
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.
MongoDB’s base salary range for this role in the U.S. is $118,000—$231,000 USD.
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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.
Domain
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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
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.
MongoDB’s base salary range for this role in the U.S. is $118,000—$231,000 USD.
#J-18808-Ljbffr