Senior Software Infra Architect

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsEducation: bachelorsSkills: ["Hands-on problem-solving","Design review collaboration","Continuous improvement","Automation mindset"]

Join the DSX AIR team to design and scale next-generation AI infrastructure. You’ll own architecture and infrastructure requirements for highly scalable distributed microservices systems, partner with system architects, development, and DevOps engineers on design reviews, and build proof-of-concepts for new architectural patterns. The role focuses on Kubernetes internals, operators/CRDs, deep container networking, and continuous improvements across the platform and AI integration layers.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Software Infra Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Join the DSX AIR team to design and scale next-generation AI infrastructure. You’ll own architecture and infrastructure requirements for highly scalable distributed microservices systems, partner with system architects, development, and DevOps engineers on design reviews, and build proof-of-concepts for new architectural patterns. The role focuses on Kubernetes internals, operators/CRDs, deep container networking, and continuous improvements across the platform and AI integration layers.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Own infrastructure architecture and requirements for highly scalable distributed microservices systems.
  • •Collaborate with system architects, development, and DevOps engineers to conduct comprehensive design reviews aligned to product architecture.
  • •Build and demonstrate proof of concepts (POCs) for new architectural patterns and technologies.
  • •Architect and develop large-scale systems over Kubernetes, tuning performance and stability using deep understanding of its structure.
  • •Design and optimize deep networking solutions for container/Kubernetes environments and drive continuous platform improvements.

Key Requirements

  • •8+ years of experience with distributed microservices architectures using event-driven and reactive models.
  • •Deep hands-on knowledge of Kubernetes (k8s) internals, including control plane infrastructure and core services.
  • •Experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs, or customizing internal control plane services.
  • •Proven ability to develop large-scale systems on k8s and fine-tune performance and stability for massive workloads.
  • •Strong programming background in a high-level language such as Go or Python, plus a bachelor’s degree.
Experience:8+ years
Education:Bachelor's
Skills:Hands-on problem-solvingDesign review collaborationContinuous improvementAutomation mindset
Tech Stack:KubernetesK8sDistributed systemsMicroservicesEvent-drivenReactive modelsGoPythonOperatorsCRDsControl planeContainer networking

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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