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Mid-level platform role with common DevOps skills at a recognized BFSI employer increases applicant competition.
Core cloud-native and Kubernetes skills transfer across industries, but ML infra and compliance increase specificity.
Explicit 5–8 years plus cloud, IaC, GitOps, and ML-infra requirements create strict mandatory filters.
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Lead design and implementation of cloud-native platform initiatives from concept to production, particularly on Kubernetes and multi-cloud environments (AWS, GCP, Azure).
Own standardizing platform tooling and deployment patterns across engineering teams using IaC and GitOps (Terraform, Pulumi, ArgoCD).
Manage AI/ML infrastructure components such as model serving, inference pipelines, and GPU resource management.
5 to 8 years experience in platform, infrastructure, or SRE roles; at least 3 years focused on cloud infrastructure or developer platforms.
Expertise with Kubernetes at scale and managed cloud services across AWS, GCP, or Azure.
Proficiency in IaC and GitOps tools such as Terraform or Pulumi and ArgoCD.
Experience working in enterprise environments compliant with SOC 2, ISO 27001, or GDPR.
Someone who has successfully owned and delivered complex, multi-month platform initiatives in cloud-native environments.
Experienced in standardizing platform operations across multiple teams with strong architectural communication skills.
Comfortable navigating enterprise compliance requirements and integrating AI/ML infrastructure within cloud platforms.