ArcOne - Performance Engineer - AI Systems

Position Overview :

The Performance Engineer will play a critical role in analyzing, optimizing, and scaling ArcOne's data and AI systems, with a focus on revenue management.

This role involves deep performance profiling across application, middleware, runtime, and infrastructure layers, developing advanced observability tools, and collaborating with cross-functional teams to meet stringent latency, throughput, and scalability goals.

Qualifications :

Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience :

• 7+ years of software engineering experience, with a strong focus on performance or reliability engineering for high-scale distributed systems.
• Proven expertise in optimizing performance across one or more layers of the stack (e.g, database, networking, storage, application runtime, GC tuning, Python / Golang internals, GPU utilization).
• Hands-on experience with real-time and batch processing frameworks (e.g, Apache Kafka, Spark, Flink).
• Demonstrated success in building observability, benchmarking, or performance-focused infrastructure at scale.
• Experience in revenue management systems or similar domains (e.g , pricing, forecasting) is a plus.

Technical Skills :

Key Responsibilities :

Performance Analysis & Optimization :

, Python runtime, GPU utilization), and infrastructure layers (e.g, networking, storage).

Observability & Tooling :

Cross-Functional Collaboration :

Performance Testing & SLAs :

System Design & Scalability :

(ref : hirist.tech)