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.
