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Director of Platform Engineering

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

We’re hiring:
Director of Platform Engineering at Meeru AI

San Francisco Bay Area (Hybrid)

Meeru AI is building an AI-native platform for enterprise finance teams — transforming ERP, CRM, billing, and operational data into grounded, auditable intelligence for CFOs and FP&A leaders.

We’re looking for a senior platform engineering leader to own the infrastructure, reliability, security, and deployment architecture powering our multi-cloud AI platform across AWS, Azure, and GCP.

You’ll lead Platform Engineering across:

  • Multi-cloud infrastructure & Kubernetes (EKS/AKS/GKE)
  • AI/ML infrastructure, GPU orchestration & MLOps
  • SaaS multi-tenant, dedicated tenant, and on-prem deployments
  • Security, compliance, and enterprise-grade reliability
  • Internal developer platform & CI/CD
  • Infrastructure cost optimization & Fin Ops
  • Observability, incident management & disaster recovery
  • Zero Trust architecture & Dev Sec Ops  automation
  • AI model serving, inference optimization & RAG infrastructure
Key skills:
  • Kubernetes
  • Terraform
  • Pulumi
  • AWS
  • Azure
  • GCP
  • Docker
  • Git Ops
  • Datadog
  • MLflow
  • Ray Serve
  • vLLM
  • Triton
  • TensorRT
  • Python
  • Go
  • CI/CD
  • GPU Infrastructure
  • SOC 2
  • ISO 27001
  • Fin Ops
  • Platform Security
  • MLOps
  • SRE
What you’ll build:
  • Multi-cloud deployment framework provisioning environments in under an hour
  • Tenant-isolated AI model serving at enterprise scale
  • Self-hosted LLM/SLM infrastructure for regulated customers
  • SOC 2-ready infrastructure and security posture
  • Developer platform enabling fast, self-service deployments
Ideal background:
  • 10+ years in engineering, 5+ years leading platform/SRE teams
  • Deep AWS/Azure/GCP experience
  • Strong Kubernetes & IaC expertise (Terraform/Pulumi)
  • Production ML/LLM infrastructure experience
  • Enterprise security & compliance leadership

If you’ve scaled AI-native infrastructure for enterprise environments and love building reliable systems that disappear into the background when done right — we’d love to talk.

#Hiring #Platform Engineering #MLOps #Kubernetes #AIInfrastructure #Dev Ops #SRE #Cloud Engineering #Fintech #Enterprise AI

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