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Senior Software Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: MongoDB
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps
Job Description & How to Apply Below

Mongo

DB’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, Mongo

DB 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 Mongo

DB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust Mongo

DB to build next-generation, AI-powered applications.

The database market is massive and Mongo

DB is at the forefront of its disruption. At Mongo

DB, 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 Mongo

    DB Atlas customers

  • Event Systems: SOA-based event platforms leveraging gRPC and streaming architectures to power the Mongo

    DB activity feed at scale

  • Communication Systems:
    Distributed services to deliver alert notifications through multiple channels (email, SMS, Slack, Pager Duty) 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

  • Data stores:
    Mongo

    DB, 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 Mongo

    DB 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…

Position Requirements
10+ Years work experience
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