דרושים » תוכנה » sr. software engineer - cloud, identity protection (hybrid, isr)

as a global leader in cybersecurity, the company protects the people, processes and technologies that drive modern organizations. since 2011, our mission hasnt changed - were here to stop breaches, and weve redefined modern security with the worlds most advanced ai-native platform. we work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. our customers span all industries, and they count on the company to keep their businesses running, their communities safe and their lives moving forward. we're proud to work for a mission-driven company leveraging ai to transform the way we work. team members drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible ai adoption, experimentation, and innovation. we use an ai-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. were always looking to add talented team members to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. ready to join a mission that matters? the future of cybersecurity starts with you.
about the role:
the company's identity protection product group in israel has grown into one of the highest-performing teams, driving significant arr growth while tackling one of cybersecurity's hardest problems: identity posture at cloud scale. as a senior engineer on the entities team, you'll own the full entity lifecycle - from scraping identity data across active directory, azure, and cloud providers, through enrichment and risk scoring, to publishing millions of identity entities into the company's asset platform. your systems are the foundation that detection rules, alert pipelines, and customer-facing dashboards all depend on. you'll tackle real-world scale challenges: processing massive volumes of identity data through complex dependency graphs, maintaining data consistency across distributed regions, and building new high-performance go microservices to replace and extend legacy systems.
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 the company's 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
you'll work on problems liike:
processing and enriching millions of identity entities through a 100+ provider dependency graph in Real-Time
building resilient kafka consumers that handle cloud asset events at scale with exactly-once semantics
designing incremental computation strategies that avoid redundant work while maintaining data freshness
migrating critical services to go for improved performance and resource efficiency
calculating identity risk scores by aggregating signals from ad privileges, behavioral patterns, and cloud permissions
tech stack:
go
JAVA
Node.js / JavaScript
Python
mongodb, redis, kafka, aws
what you'll need:
7+ years of software engineering experience shipping production systems through complete lifecycles.