AI Infrastructure Platform Engineer

🚀 Hiring: AI Infrastructure / Platform Engineer – AWS EKS | Kubernetes | GitOps

We’re looking for an experienced AI Infrastructure / Platform Engineer to join a newly formed team supporting production GenAI and ML applications at enterprise scale.

This is a greenfield environment where you’ll have the opportunity to shape infrastructure, engineering practices, and operational standards from the ground up.

🔹 Key Responsibilities

• Manage and support AWS EKS / Kubernetes clusters powering GenAI & ML workloads

• Implement GitOps workflows using ArgoCD and/or Flux

• Manage Cloudflare / AWS CloudFront configurations, caching, origins & edge security

• Troubleshoot J2EE / Spring / Hibernate backend services

• Build and manage observability using Splunk, Dynatrace and/or Datadog

• Handle production incidents, RCA and preventive actions

• Collaborate with ML & application teams on GenAI/model deployments

• Create documentation, runbooks and operational knowledge bases

🔧 Must-Have Skills

✅ AWS EKS & strong Kubernetes administration

✅ Kubernetes deployments, namespaces, RBAC, networking & resource management

✅ Hands-on ArgoCD and/or Flux experience

✅ Cloudflare or AWS CloudFront

✅ Java backend troubleshooting – J2EE, Spring, Hibernate

✅ Splunk / Dynatrace / Datadog

✅ Strong communication and documentation skills

⭐ Good to Have

• ML model serving / inference infrastructure

• GenAI architecture – RAG, Vector Databases, LLM APIs

• AWS – Lambda, S3, RDS, SQS, IAM

Terraform / Infrastructure as Code

• Platform Engineering / SRE experience

• Enterprise-scale production environments

🌟 Why Join?

🚀 Brand-new AI Infrastructure team

🤖 Direct exposure to production GenAI & ML systems

☁️ Modern cloud-native technology stack

🌍 Fully Remote

🎯 High-visibility role with significant ownership and impact

📩 Interested? Share your updated resume ([email protected]) or DM me with your profile.

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