Senior Network Engineer (R5667)
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Looking for an infrastructure & platform engineer job in San Mateo? Choose from 24 open roles at 8 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The titles and summaries on this page point to work that spans several overlapping infrastructure domains. Compute platform roles focus on managing and scaling large fleets, including Kubernetes-based systems and GPU clusters, often in support of AI workloads. Data infrastructure roles involve building pipelines, storage layers, and safety or privacy-oriented systems that sit beneath product features. Network and distributed systems engineering appears across several employers, covering the reliability and performance of services at scale.
The one sample summary available, Member of Technical Staff, AI Training Infrastructure at Fireworks AI, describes designing and optimising infrastructure for large-scale AI model training, including distributed training pipelines, GPU and data-centre performance tuning, and monitoring. That role lists a bachelor's degree in computer science or equivalent experience alongside at least three years working with distributed systems and ML infrastructure.
Across all titles, the work appears heavily oriented toward building and operating the underlying systems that run AI and general product infrastructure, rather than application-layer development.
Skills counts reflect mentions in posting descriptions across all postings on this page, not stated requirements. The sample size is small enough that a skill appearing in roughly half the postings — such as Kubernetes or Python — signals meaningful prevalence, while those appearing in fewer than a third, like Java or microservices, are present but not dominant. Cloud platforms appear in varied combinations, with AWS most common, followed by GCP and Azure.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
The strong majority of postings on this page specify on-site work, with a small minority listing hybrid arrangements. No postings are advertised as fully remote. All employers in this set appear to be located in or around San Mateo, though precise office addresses are not stated in the fact pack for most of them. Candidates should confirm exact location requirements directly with each employer, as hybrid terms — days in office, flexibility — are not detailed in the postings as summarised here.
Jobs checked 1 hour ago. · Guide reviewed 14 September 2026.
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