Staff Software Engineer, ISPM - India
- Jump Cloud
- Remote India
Job Description
The Problem Statement: The Invisible Identity Perimeter
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.
The Opportunity: Founding the ISPM Platform
As a Staff Software Engineer, you are a founding member of our newly formed ISPM team, playing a pivotal role in shaping a proactive, AI-driven security discipline from the ground up. You will lead the "zero-to-one" journey, defining how we use high-scale stream processing to protect thousands of organizations.
You will be responsible for driving the ISPM feature set end-to-end—from strategic planning and platform architecture to hands-on development and operational excellence. This is a unique opportunity for an ambitious engineer to build the "pipes" and the "logic" that will redefine the security posture of the modern workforce while building a platform that accelerates product development across the entire company.
We’re looking for:
10-12+ 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.
Security & Identity: Exposure to authentication standards (OAuth, OIDC, SAML) or experience building logic for Fraud/Risk engines. Proficiency in Identity risk posture management concepts and developing such solutions.
Bonus Points:
