Miggo's Pipeline team builds the event-driven data foundation behind the company's Application Detection & Response platform. We transform massive application telemetry into real-time security value, powering detections, correlations, and automated insights across the product.
What you'll do
- Design and scale event-driven streaming systems using Kafka and Temporal to enable real-time security analysis and decision making.
- Build rule-based and data-driven pipelines that turn application signals into actionable detections.
- Collaborate with product, integrations, and detection teams to create new data flows that unlock innovative security capabilities.
- Lead improvements in scalability, reliability, and observability to keep the pipeline ahead of growth and complexity.
What you have
- Deep experience with stream processing and distributed systems (Kafka, Flink, Temporal, or similar).
- Expertise in data architecture and high-performance querying (ClickHouse, Postgres).
- Proven ability to design and own complex systems with clarity and resilience.
- Strong engineering fundamentals and curiosity about how data becomes security intelligence.
- 7+ years of backend development experience with a focus on distributed systems
It would be great if you also have:
- Background in security analytics or large-scale data systems.
- Experience with multi-tenant, real-time, or high-throughput environments.
