MultiOn · 3 days ago

Senior Infrastructure Software Engineer

Palo Alto, CA

Full-time

Onsite

Senior Level

5+ years exp

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Software Development

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Responsibilities

Proactively identify opportunities to introduce innovative technology and automation solutions that enhance our infrastructure's efficiency, effectiveness, and scalability

Oversee the provisioning, monitoring, and maintenance of hardware, software, and networks in new data centers

Conduct architecture and research work for distributed AI workloads

Collaborate with vendors to acquire, debug, and maintain next-generation hardware and software optimized for our workloads

Partner with stakeholders to make strategic hardware decisions

Provide technical leadership and guidance during deployment activities

Develop and maintain comprehensive documentation, including plans, SOPs, MOPs, etc.

Qualification

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DevOpsSoftware DevelopmentPythonLinux SystemsNetwork ServicesAutomationNetwork FundamentalsContinuous Release EngineeringInfrastructure as CodeOperating Systems ConceptsIssue Response Process ManagementKubernetesContainerizationMachine Learning FrameworksGPU ProgrammingCUDA Knowledge

Required

Minimum of 5 years of experience in DevOps and production-grade software infrastructure

Advanced software development skills in C++, Go, Rust, or similar system languages

Proficiency in Python at an intermediate level

Extensive experience in maintaining production Linux systems, including the setup, management, and maintenance of networking, monitoring, and storage

Experience in Linux systems administration, preferably with contributions to open source projects

Strong expertise in network services, including REST APIs and HTTP

Significant experience in developing tooling and automation solutions

Knowledge of network fundamentals: subnetting, custom routing, firewalls, IPv6

Experience with continuous/rapid release engineering

Proficiency with infrastructure-as-code systems such as Terraform and Pulumi

Solid understanding of low-level operating systems concepts, including multi-threading, memory management, networking, storage, performance, and scale

Experience in managing a production-grade issue response process using tools like PagerDuty, ensuring adherence to uptime SLAs

Familiarity with Kubernetes and containerization, VPNs, GPU workloads

Experience with machine learning frameworks such as PyTorch or TensorFlow