AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10356
Core
Design and lead the development of scalable, secure, real-time distributed systems and AI platforms that process massive volumes of network data to power intelligent networking and agentic automation.
Role type
Staff Software Systems Engineer (AI Infrastructure & Distributed Systems)
Builds
Core platforms and services for intelligent networking, agentic AI, distributed data processing, and real-time analytics.
Domain
Networking, AI, Distributed Systems, Cloud Platforms
Deliverable
production ML models | product features | infrastructure
Required skills
Architecture of large-scale distributed systems, Real-time microservices, Stream processing, Cloud infrastructure (AWS/Azure/GCP), AI/Agentic systems design, Mentoring technical teams, High-volume data processing, Python/Java/Go/C++ proficiency
Preferred skills
Generative AI and agentic systems (tool use, planning, memory, orchestration), Event-driven microservices, Distributed data technologies (Kafka, Spark, Flink), Network telemetry and control-plane systems
Technologies
Kafka, Spark, Flink, PySpark, MapReduce, AWS, Azure, Google Cloud
Responsibilities
Define and drive innovative technical vision for intelligent networking and agentic AI, Lead end-to-end software development lifecycle including architecture and deployment, Design and build high-performance production services for real-time data and AI platforms, Mentor engineers and establish technical direction, Build resilient and observable systems, Champion improvements to architecture and engineering processes
Seniority
Staff, hands-on IC with strategic leadership
