Senior Site Reliability Engineer

NVIDIA is seeking a Staff DB SRE to build the runtime foundation for NVIDIA's enterprise AI platforms, focusing on database infrastructure at scale. You will develop software systems, automation frameworks, and high-performance database services that power NVIDIA's AI workloads.

Responsibilities:

• Design and operate highly available database clusters with automated replication, failover, and disaster-recovery strategies.
• Drive database performance engineering, including query optimization, indexing strategies, and storage-engine tuning.
• Build self-service database lifecycle automation, including one-click cluster provisioning and zero-downtime upgrades.
• Bridge relational and AI-native data infrastructure, extending traditional database expertise into vector search and GPU-accelerated query engines.
• Compose and build software platforms that transform legacy database systems into modern and scalable architectures.
• Run vector and graph database services and query engines to handle AI/ML data workloads with ultra-low latency.
• Build automation frameworks for provisioning, schema evolution, scaling, and failover integrated directly into CI/CD workflows.
• Build developer-focused tooling for monitoring, profiling, and debugging database performance in real time.
• Contribute to architecture, coding standards, and guidelines for long-term platform evolution.
• Participate in on-call rotations to ensure flawless operation of critical database services.

Requirements:

• BS, MS, or PhD in Computer Science, Engineering, or a related field,or equivalent experience.
• 8+ years of Database engineering experience with deep expertise in database systems or distributed data platforms.
• Deep hands-on expertise with one or more major relational database engines, including replication topologies and high-availability architecture.
• Proven background in query optimization, data partitioning, and large-scale performance tuning.
• Experience building or operating managed database services or internal Database-as-a-Service platforms.
• Strong programming skills in Python, Go, with a track record of building production-grade systems.
• Demonstrable experience crafting high-performance, high-availability relational database services.
• Experience with container orchestration (Kubernetes) and cloud-native database deployment patterns.
• Hands-on experience establishing DevOps guidelines, e.g., CI/CD, monitoring, alerting, SLAs, capacity forecasting.

Nice to Have:

• Strong Kubernetes/Infrastructure as code and coding experience.
• Expertise in hybrid/multi-region database replication strategies for low-latency AI workloads.
• Demonstrable understanding of observability and performance profiling tools for complex data systems.
• Experience building an internal Database-as-a-Service offering.
• Hands-on experience with database migration tooling, schema evolution pipelines, and zero-downtime upgrade strategies.