Jumpcloud3mo ago

Senior Software Engineer, ITDR - India

BangaloreRemoteFull Timesenior

Software EngineerSoftware Engineering

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Quick Summary

Requirements Summary

Architect the services that consume data from our risk engine (Kafka) and determine the appropriate system response in milliseconds. You will build modular components that can be shared internally.

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Software EngineerSoftware Engineering

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

Do you enjoy solving challenging problems using the latest technologies within a great team? Is knowing your work will be highly visible and mission critical a key component for the next step in your career? At JumpCloud, we’re looking for best-in-class talent to help define the future of modern identity and device management from the ground up.

About the Role:

JumpCloud is looking for an experienced Senior Software Engineer (L4) to join our growing Security Engineering organization.

As the identity landscape evolves, we are expanding our capabilities in Identity Threat Detection & Response (ITDR). You will be a key technical leader in building the next generation of our active defense platform—ingesting high-volume risk signals, analyzing threats in real-time, and automating the response to stop attacks. This role sits at the intersection of Distributed Systems, Data Engineering, and Cybersecurity. You will bridge the gap between "Raw Data" and "Actionable Intelligence," building the infrastructure that powers our future Machine Learning models and empowers SOC analysts to hunt threats.

Technical Leadership & Architecture: Lead the high-level architecture and low-level design of new Go microservices. You will break down complex requirements, mentor other engineers, and collaborate with senior technical leaders to manage technical debt and feature detailing.

Build the Decision Engine: Architect the services that consume data from our risk engine (Kafka) and determine the appropriate system response in milliseconds. You will build modular components that can be shared internally.

"Think Like a SOC Analyst": You will design API responses and data structures that provide deep context (scores, lineage, threat details) so IT Admins can investigate incidents without guessing.

Prepare the Runway for ML: Utilise Machine learning concepts to harness the inhouse data to build solutions for IT Admins.

Operational Excellence: Own your services in production. You will define SLIs/SLOs, manage database performance (Postgres/Redis), ensure high availability, and perform upgrades to keep up with modern security best practices.

Strategy & Collaboration: Partner with the Platform Engineering team to define data contracts. You will help shape the future of our Identity Management services roadmap by participating in planning conversations with Product Managers.

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.

SOC / SIEM Empathy: Experience building tools for Security Operations Centers. You understand concepts like "False Positive Fatigue," "Triage," and "Incident Context.

Security & Identity: Exposure to authentication standards (OAuth, OIDC, SAML) or experience building logic for Fraud/Risk engines.

Integrations: Experience integrating with third-party threat feeds (e.g., GeoIP, IP Reputation).