עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
What You'll Do:
Own the entity enrichment pipeline - a DAG-based computation engine that calculates 100+ fields, risk scores, and privilege relationships for every identity entity.
Build and maintain data ingestion services that scrape Active Directory forests, process cloud assets from Azure/AWS via Kafka, and integrate third-party identity sources.
Design and develop new Go microservices as the team migrates performance-critical paths from Node.js/Java to Go.
Solve complex data pipeline challenges: dependency ordering, incremental computation, race condition handling, and cache invalidation at scale.
Publish entity data to our centralized asset graph (SDMF), ensuring correctness and freshness for millions of identities - Optimize system performance - reduce enrichment latency, improve throughput, and handle traffic spikes gracefully - Mentor and elevate engineering talent, sharing expertise in building production systems that work under pressure.
What You'll Need:
7+ years of software engineering experience shipping production systems through complete lifecycles.
Proven expertise designing and building data-intensive services - pipelines, enrichment engines, or event-driven architectures at scale.
Strong proficiency in Go, Java, and Node.js (working across multiple stacks, not just one).
Experience with MongoDB, Kafka, and event-driven microservice patterns.
Quality-focused mindset - you ship reliable software that works in production at scale.
Strong collaboration skills - you work effectively across engineering, product, support, and sales teams.
BS/MS in Computer Science or equivalent real-world experience.
Proven experience utilizing AI technologies to enhance decision-making, streamline.
workflows and processes, improve efficiency and drive business outcomes.
Bonus Points:
Experience with Active Directory, LDAP, or identity/access management domains.
Familiarity with graph-based computation models (DAGs, dependency resolution).
Background in migrating legacy systems to Go.
Experience with risk scoring or entity resolution systems.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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