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. Our industry‑leading developer data platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database 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 over 175,000 new developers signing up each month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next‑generation, AI‑powered applications.
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.
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 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.
MongoDB’s base salary range for this role in the U.S. is $118,000—$231,000 USD.
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 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.
#J-18808-Ljbffr
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.
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 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.
MongoDB’s base salary range for this role in the U.S. is $118,000—$231,000 USD.
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 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.
#J-18808-Ljbffr