Senior Cloud Systems Engineer — Scalable SaaS & AI

Nvidia Corporation in

Santa Clara (CA)

On-site

USD 224,000 - 357,000

Full time

8 days ago
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Job summary

GeForce NOW Cloud division at NVIDIA seeks a Senior Systems Software Engineer to design, build, and deploy scalable cloud-based systems for a high-performance SaaS/PaaS platform. You will work across teams to drive features, reliability, and architectural decisions, leveraging Java, Golang, and Python in microservices and cloud-native stacks.

You will mentor peers, advance automation, and champion observability, fault tolerance, and scalability in distributed systems for AI-assisted cloud

Qualifications

  • 12+ years of hands-on SaaS/PaaS delivery experience.
  • Strong knowledge of distributed systems, cloud infrastructure and APIs.
  • Proven ability to design, build and scale cloud services.
  • Experience with Java, Golang and Python in microservices.
  • Familiarity with Kubernetes, ECS or OpenStack and infrastructure as code.

Responsibilities

  • Design, build, and scale distributed cloud-based systems for a high-performance SaaS/PaaS platform.
  • Collaborate cross-functionally to drive new features and reliability.
  • Influence architecture, stack choices, and development methods.
  • Drive automation, monitoring, and performance tuning.
  • Build scalable test harnesses to validate performance at scale.
  • Raise the engineering bar via mentorship and technical excellence.

Skills

Distributed systems
RESTful APIs
gRPC
Java
Golang
Python
Cloud services
Observability
High reliability
Scalability

Education

B.S./M.S. in Computer Science or equivalent

Tools

Kubernetes
ECS
OpenStack
Spring Boot
Golang Kubernetes operators
Cassandra
Redis

Job description

GeForce NOW Cloud division at NVIDIA seeks a Senior Systems Software Engineer to design, build, and deploy scalable cloud-based systems for a high-performance SaaS/PaaS platform. You will work across teams to drive features, reliability, and architectural decisions, leveraging Java, Golang, and Python in microservices and cloud-native stacks.

You will mentor peers, advance automation, and champion observability, fault tolerance, and scalability in distributed systems for AI-assisted cloud

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