N
Senior Software Engineer, AIOps Platform
Sin especificarTiempo completoBackend DevelopmentSemiconductorsAI Infrastructure
Build distributed software for an AI operations platform that monitors GPU clusters, analyzes telemetry, and serves predictive models in SaaS and on-premises environments.
Responsabilidades
- Architect and build systems that monitor GPU fleet health, correlate telemetry, generate alerts, and coordinate diagnostic and corrective workflows.
- Design distributed systems for high-volume telemetry ingestion, processing, and real-time analysis.
- Evaluate data storage strategies and representations to support high-quality data for predictive models.
- Instrument services with metrics, logs, and traces to support debugging and performance improvements.
- Build and maintain infrastructure for packaging, versioning, deploying, and monitoring predictive models across SaaS and on-premises environments.
- Develop shared libraries and abstractions for the AIOps engineering team.
Requisitos
- Bachelor’s or master’s degree in computer science, computer engineering, or a related technical field.
- At least 8 years of software engineering experience building production distributed systems.
- Expert-level proficiency in Go, C++, or Rust, with experience in high-performance concurrent architectures.
- Strong understanding of Kubernetes and container-based production deployments.
- Experience deploying, monitoring, and maintaining machine learning models or data-intensive services in production.
Se valora
- Experience building scalable model-serving platforms or MLOps tools such as model registries, rollout frameworks, or feature stores.
- Experience taking prototypes to stable production platforms for enterprise customers.
- Ability to develop tools and frameworks that help engineering teams work more efficiently.
Beneficios
- Competitive salary
- Generous benefits package