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Mid-level metro platform role with common cloud skills but some AI/ML infra specialization.
Platform and cloud skills transfer well across industries, though enterprise compliance increases specificity.
Multiple mandatory requirements (5–8 yrs, 3+ cloud years, IaC, GitOps, compliance) increase screening strictness.
Own and deliver complex, multi-month platform engineering initiatives from design to production with accountability for managing ambiguity and technical risk.
Implement and standardize cloud-native platform tooling and deployment patterns across engineering teams using IaC and GitOps approaches like Terraform, Pulumi, and ArgoCD.
Support and enhance AI/ML infrastructure capabilities including model serving, inference pipelines, GPU management, and LLM integrations on cloud platforms.
5 to 8 years of experience in platform engineering, infrastructure, or SRE with at least 3 years focused on cloud infrastructure or developer platforms.
Expertise in Kubernetes at scale and managed cloud services across AWS, GCP, or Azure, including networking, identity federation, and multi-tenancy.
Proficiency in Infrastructure as Code (Terraform or Pulumi) and GitOps practices (ArgoCD).
Experience in enterprise compliance frameworks such as SOC 2, ISO 27001, or GDPR.
Experienced in leading end-to-end platform projects in large-scale enterprise environments, demonstrating strategic ownership and delivery capabilities.
Strong technical orientation towards cloud-native architectures and AI/ML infrastructure support, indicating ability to bridge platform engineering and emerging AI workloads.
Communicates complex technical architecture clearly to both engineering and non-technical stakeholders, facilitating cross-team alignment and decision making.