Сильная позиция в крупной компании в сфере кибербезопасности с четким и сложным техническим стеком. Работа с высоконагруженными распределенными системами и миграция на Go обеспечивают отличные возможности для профессионального роста.
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Hirify AI/Оригинал
TL;DR
Software Engineer - Cloud, Identity Protection (Hybrid, ISR) (Cybersecurity): Building Go microservices, data ingestion services, and DAG-based enrichment pipelines that process and publish millions of identity entities with an accent on cloud-scale identity data, risk scoring, and distributed data consistency. Focus on designing Kafka-based event processing, optimizing incremental computation and latency, migrating performance-critical services to Go, and maintaining reliable systems under traffic spikes.
Location: Hybrid position based in the Ramat-Gan, Israel office; the posting also lists Tel Aviv, Israel.
Company
Cybersecurity company building an AI-native platform that protects organizations by detecting and stopping breaches at large scale.
What you will do
Own a DAG-based entity enrichment engine calculating fields, risk scores, and privilege relationships for identity entities.
Build ingestion services for Active Directory forests, Azure and AWS cloud assets, and third-party identity sources.
Design Go microservices while migrating performance-critical services from Node.js and Java.
Solve dependency ordering, incremental computation, race condition, cache invalidation, and data consistency challenges.
Publish accurate and fresh identity data to the centralized asset graph for millions of identities.
Optimize throughput and latency, handle traffic spikes, and mentor engineering talent.
Requirements
Hybrid work from the Ramat-Gan, Israel office is required.
6+ years of software engineering experience delivering production systems through complete lifecycles.
Strong proficiency in Go, Java, and Node.js, with experience working across multiple stacks.
Experience designing data-intensive services, pipelines, enrichment engines, or event-driven architectures at scale.
Experience with MongoDB, Kafka, and event-driven microservice patterns.
Degree in Computer Science or equivalent experience, plus strong collaboration and production-quality focus.
Nice to have
Active Directory, LDAP, or identity and access management experience.
Familiarity with DAGs, dependency resolution, risk scoring, or entity resolution systems.
Experience migrating legacy systems to Go.
Culture & Benefits
Flexible, autonomous work culture with an emphasis on responsible AI adoption and innovation.
Comprehensive physical and mental wellness programs.
Competitive vacation, holidays, and paid parental and adoption leave.
Professional development opportunities and employee networking and volunteer programs.
Office culture with world-class amenities and global workplace certification.
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