Senior Site Reliability Engineer

NVIDIA
Israel
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsSkills: ["On-call readiness","Architecture contribution","Automation mindset"]

Build and run highly available, enterprise-scale database infrastructure that powers NVIDIA’s AI workloads. Own database performance engineering, including query optimization, indexing, connection pooling, and storage-engine tuning. Create self-service automation for cluster provisioning, schema migrations, zero-downtime upgrades, and capacity scaling, while bridging relational and AI-native/vector search capabilities. Contribute to platform evolution and participate in on-call rotations.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Site Reliability Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and run highly available, enterprise-scale database infrastructure that powers NVIDIA’s AI workloads. Own database performance engineering, including query optimization, indexing, connection pooling, and storage-engine tuning. Create self-service automation for cluster provisioning, schema migrations, zero-downtime upgrades, and capacity scaling, while bridging relational and AI-native/vector search capabilities. Contribute to platform evolution and participate in on-call rotations.
Location: Israel
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design and operate highly available database clusters with automated replication, failover, point-in-time recovery, and disaster-recovery strategies.
  • •Drive database performance engineering, including query optimization, indexing, connection pooling, lock-contention analysis, and storage-engine tuning.
  • •Build self-service database lifecycle automation for provisioning, schema migrations, zero-downtime upgrades, blue-green deployments, and capacity scaling.
  • •Bridge relational and AI-native data infrastructure, extending into vector search, GPU-accelerated query engines, and hybrid data platforms.
  • •Develop automation frameworks integrated into CI/CD workflows and participate in on-call rotations for critical services.

Key Requirements

  • •BS, MS, or PhD in Computer Science, Engineering, or 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 major relational databases (Oracle, MySQL, MSSQL), including replication, backup/restore, and high-availability architecture.
  • •Proven background in query optimization, data partitioning, and large-scale performance tuning.
  • •Strong programming skills in Python and Go, with experience building production-grade systems and automation frameworks.
Experience:8+ years
Education:
Skills:On-call readinessArchitecture contributionAutomation mindset
Tech Stack:PythonGoMySQLMSSQLOracleCI/CDKubernetesVector searchGPU-accelerated query enginesBlue-green deploymentsDisaster recoveryPoint-in-time recoveryDatabase clustersContainer orchestrationObservabilityMonitoringProfiling

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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