Modern enterprises no longer have a physical perimeter; identity is the new boundary. However, this boundary is currently fragmented, opaque, and highly volatile. IT Admins today are drowning in "Identity Debt"—stale accounts, over-privileged permissions, and hidden misconfigurations that remain invisible until they are exploited.
The industry is reactive. At JumpCloud, we believe security should be proactive. The challenge is to build a platform that doesn't just manage identities but actively audits, predicts, and remediates risks across millions of objects in real-time. We need to turn "Trust Nothing, Verify Everything" from a slogan into a high-scale, event-driven reality
As a Senior Software Engineer for our newly formed Identity Security Posture Management (ISPM) team, you will play a foundational role in building a proactive, AI-driven security discipline from the ground up. You are a master of your craft in Go, capable of navigating complex event-driven architectures and ensuring our stream-processing pipelines are both resilient and performant.
You will own the execution of critical ISPM workstreams, turning high-level designs into robust, production-ready code while mentoring mid-level engineers on best practices.
6-8+ years of backend software development experience.
Expert Proficiency in Go (Golang): You understand concurrency patterns, memory management, and how to build services that scale.
Event-Driven Architecture: Proven experience building systems that consume and produce messages via Kafka, Kinesis, or SQS.
Stream Processing: Experience with Apache Flink or Spark Streaming.
Database Fluency: Experience modeling data in both Relational (Postgres) and NoSQL (Redis/DynamoDB) stores.
Cloud Native: Deep experience with AWS services (Lambda, ECS/EKS) and Infrastructure-as-Code (Terraform).
ML Infrastructure Interest: You don't need to be a Data Scientist, but you have a working interest in MLOps or Model Serving. You are excited about building the "pipes" that put ML models into production.
Distributed Systems Expertise: building scalable, fault tolerant systems handling large data sets