Senior Software Engineer, AIOps

Responsibilities

• Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive…
• Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.
• High-Scale Engineering
• Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.
• Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.
• Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.
• Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.
• What we need to see
• B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field.
• 8+ years of software engineering experience building production distributed systems.

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