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# Senior Backend Platform Engineer

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Proxy Servers, Microsoft Azure, Software Quality, Software Debugging, Linux, Domain Name System (DNS), Fault Tolerance, Virtual Private Networks (VPN), Routing, Reliability Engineering, Cloud Services, Software Engineering, TCP/IP, Load Balancing, Concurrency, Backend, Containerization, Kubernetes, Infrastructure Automation Frameworks, Hardware Infrastructure, Virtual Agents
- **Published:** July 19, 2026
- **Apply:** https://www.juju.com/job/00000000ghmo6g

## About the Role

+ B.S. degree or equivalent experience

 + 8+ years of relevant software engineering experience, with flexibility for exceptional candidates

 + Strong professional experience developing production systems in Go , Linux systems knowledge and the ability to debug across system layers

 + Strong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancing

 + Hands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or Azure

 + Backend or platform engineering experience with production systems and s trong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling

 + Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on

 + A track record of owning reliability and operational outcomes in addition to feature delivery

Ways to Stand Out from the Crowd:

 + Experience with Temporal or another durable workflow orchestration system

 + Experience designing multi-tenant platforms, control planes, or schedulers

 + Knowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologies

 + Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments

 + Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management

## Description

+ Work deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructure

 + Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement

 + Solve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalability

 + Build infrastructure and platform primitives used by other engineers and developer-facing products , and e stablish best practices for system design, code quality, testing, reliability, and production operations

 + Collaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiences


## Related Videos

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- [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

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