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Platform Engineer — Cloud Infrastructure (SMTS)

Sal*** · Redwood City, CA, United States
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Redwood City, CA, United StatesExp: 5+ yrs148,500-223,900 USD/yearlyRemote
Remuneration
148,500-223,900 USD/yearly
Location
Redwood City, CA, United States
Visa sponsorship
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Job summary

Sal*** is seeking a Senior Member of Technical Staff for their Platform Engineering team focused on Cloud Infrastructure. The role involves designing and building intelligent platform tools using AI/ML to enhance system reliability and developer experience across multi-cloud environments.

Qualifications

  • 5+ years of professional experience in software engineering, platform engineering, or DevOps, with a recent focus on building and implementing AI solutions.
  • Strong understanding of core AI and ML concepts applied practically to software engineering.
  • Experience building with agentic frameworks and LLM orchestration tooling.
  • Good programming skills in Golang and Python.
  • Solid fundamental knowledge of cloud-native infrastructure.
  • Familiarity with continuous deployment and infrastructure-as-code concepts.
  • Demonstrated agentic and automation mindset.

Responsibilities

  • Design, build, and operate platform services and infrastructure automation in Go and Python, embedding AI capabilities directly into the core platform software.
  • Architect and implement intelligent, closed-loop automation systems (AIOps) that leverage LLMs and autonomous agents to detect anomalies, perform root-cause analysis, and execute self-healing remediation playbooks.
  • Build and maintain Retrieval-Augmented Generation (RAG) applications over internal platform documentation, runbooks, and historical incident data to drastically reduce engineering MTTR.
  • Develop custom tools, CLI plugins, and Model Context Protocol (MCP) integrations that connect cloud infrastructure APIs to agentic coding tools.
  • Partner with SRE, security, and platform specialists to identify highly repetitive operational work and build agentic solutions that delegate that toil to AI.
  • Maintain and improve standard continuous deployment pipelines using GitOps tooling and infrastructure-as-code frameworks.
  • Participate in design reviews, write clear technical documentation and RFCs, and mentor traditional platform engineers on AI/ML concepts.

Skills

Argo CDAWSAzureFluxGCPGitHubGoKubernetesOracle CloudPulumiPythonTerraform

Relocation

No