Distributed Systems Architect for Agentic Platforms

1 day ago


guntur, India beBeeAgent Full time

We're building the world's first AI Agent Orchestration Platform that lets enterprises design, deploy, and manage multi-agentic systems faster with fewer resources.As a system-design champion, you'll architect and optimize the AI core of our platform for extreme scale. This role is ideal for someone who loves deep system architecture and makes distributed systems behave like butter.Key Responsibilities:Architect & optimize high-scale agentic orchestration runtimesDesign and implement ultra-low-latency, high-throughput backend systemsWork with Python + Golang to build core orchestration, scheduling, and messaging layersOwn performance engineering: profiling, caching, concurrency, queuing, and cold-start optimizationPartner with our AI team to bring agentic workflows to lifeLead engineering decisions around Kubernetes, multi-tenant SaaS, observability, and cloud infrastructureWho You Are (Ideal Profile):We're looking for a system design expert with deep expertise in system design, architecture, performance optimization, and scalability patterns.Must-Have Strengths:7–12 years building high-scale distributed systems or real-time platformsHands-on mastery of Golang and PythonStrong understanding of cloud-native architecture: Kubernetes, microservices, queues, caches, load balancingExperience building backend systems that handle large volumes of events, messages, or workflowsAbility to take an ambiguous product architecture and make it clean, reliable, and elegantBenefits:You'll join at the most exciting moment — early enough to shape the core platform, but with real enterprise traction already in motion.What Sets Us Apart:This isn't a maintenance job. You'll be building mission-critical systems used by top companies and working directly with founders and senior architects. You'll have huge ownership on architecture and technical decisions, meaningful equity, and competitive pay.



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