JumpCloud

Senior Software Engineer, ITDR

JumpCloud

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

ApacheAWSCloudDynamoDBGoKafkaMicroservicesNoSQLPostgresRedisSparkTerraform

About the role

  • 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: Utilize 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.

Requirements

  • 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.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GoKafkaPostgresRedisAWSTerraformMLOpsApache FlinkSpark StreamingEvent-Driven Architecture
Soft Skills
technical leadershipmentoringcollaborationproblem-solvingstrategic planningcommunicationoperational excellencedata analysis