N
Senior Software Engineer, AIOps Platform
Sin especificarTiempo completoBackend DevelopmentSemiconductorsEnterprise Software
Build distributed systems for an observability and prediction platform that monitors GPU clusters and operationalizes predictive models in SaaS and on-premises environments.
Responsabilidades
- Design and build an AIOps system to monitor GPU fleet health, correlate telemetry, raise alerts, and automate diagnostics and corrective actions.
- Evaluate data storage strategies and representations across database technologies to support high-quality training data and predictive accuracy.
- Build distributed systems for high-volume telemetry ingestion, processing, and real-time analysis.
- Instrument services with metrics, logs, and traces to support debugging and performance improvements.
- Own infrastructure for packaging, versioning, deploying, and monitoring predictive models in SaaS and on-premises environments.
- Develop core 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 proficiency in Go, C++, Rust, or similar systems programming languages, with experience in high-performance concurrent architectures.
- Solid 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 with model-serving platforms or MLOps tools, such as model registries, A/B rollout frameworks, or feature stores.
- Experience taking prototypes to production-grade platforms serving enterprise customers.
- Ability to build tools and frameworks that help engineering teams work more efficiently.
Beneficios
- Competitive salary
- Generous benefits package