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CriticalRiver Technologies Private Limited Verified
IT Services, Consulting, Digital Transformation

Director of Platform Engineering

Pleasanton, California, United StatesHybridFull TimeDirector$207,012–$247,046 /yrPosted 1 month agoVisa sponsorship available

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Title: Director of Platform Engineering

Location: Pleasanton, California (hybrid work, 3 days per week onsite)

Job type: Fulltime

Overview:

  • We are seeking a highly experienced Director of Platform Engineering to partner closely with the Head of Engineering and lead platform, infrastructure, and engineering operations across the organization. This is a senior leadership role with a dual mandate: building world-class cloud and AI platforms while driving operational excellence across engineering teams.
  • This role goes well beyond traditional DevOps leadership. You will own cloud and AI/ML infrastructure (including self-hosted LLMs and GPU platforms), engineering operations, cost optimization, and platform strategy, serving as a key member of the engineering leadership team.

Key Responsibilities:

  • Own and evolve the AWS-based platform and infrastructure, supporting scalable, multi-tenant SaaS products
  • Lead AI/ML infrastructure and MLOps, including self-hosted LLMs, GPU clusters, model serving, observability, and cost management
  • Define platform standards across Kubernetes, IaC, CI/CD, security, reliability, and MLOps
  • Drive engineering operations, including hiring, performance management, tooling, and productivity improvements
  • Partner with leadership on AI pricing strategy, infrastructure cost optimization, vendor management, and financial planning
  • Ensure platform reliability, security, compliance, and long-term scalability

Required Qualifications:

  • 12+ years of engineering experience with 6+ years in senior technical leadership roles
  • Deep expertise in AWS, Kubernetes, Infrastructure as Code, and multi-tenant SaaS architectures
  • Proven experience deploying and operating self-hosted LLMs, GPU infrastructure, and production ML systems
  • Strong background in MLOps, AI cost management, observability, and model lifecycle management
  • Demonstrated success building platforms from 0→1 and scaling to 100+ customers
  • Experience leading security and compliance initiatives (SOC 2, ISO 27001, HIPAA)
  • Strong business acumen with a track record of cloud and AI cost optimization

Pay: $207,011.81 - $247,046.48 per year

Benefits:

  • Health insurance

Work Location: Hybrid remote in Pleasanton, CA 94588

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