In this Backend Engineer role you will help build and scale the foundational infrastructure of an AI-native enterprise platform. You will own critical systems that enable AI workloads to run reliably at enterprise scale, collaborating with a small, high‑performing team. The role offers ownership of architecture, performance, and observability while shaping technology used by some of the world’s largest businesses. You’ll tackle substantial scale challenges and contribute to a platform that aims to simplify IT complexity for enterprises.
Responsibilities
Design and develop scalable backend systems to support enterprise-scale workloads
Create shared abstractions, tooling, and infrastructure to accelerate product engineering
Handle high-volume LLM workloads, real-time processing, and external provider reliability
Develop resilient distributed systems and optimize databases for large-scale processing
Own architecture, performance, observability, authentication, and job orchestration decisions
Influence engineering standards and improve developer experience from the outset
Key requirements
3+ years of backend engineering experience with exposure to platform engineering or infrastructure
Strong system design skills and production-grade systems experience
Experience with distributed systems, PostgreSQL, queueing systems, and large-scale batch processing
Understanding of performance optimization, benchmarking, and scaling under demand
Exposure to LLM infrastructure or AI-native applications
Ability to own problems across APIs, infrastructure, and data flows
Pragmatic engineering mindset with confidence to decide and challenge approaches
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