AWS Cloud Platform Engineer / Senior AWS Infrastructure Engineer
Arkhya Tech
Woodbridge Township, NJ, United States
19 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon Elastic Compute Cloud
Audit Trail
Bash Shell
Cloud Computing
Computer Networks
Federated Identity Management
Monitoring of Systems
Identity and Access Management
Python (Programming Language)
Windows PowerShell
+12 more
Ansible
Software Vulnerability Management
Autoscaling
Large Language Models
Amazon Virtual Private Cloud (VPC)
Cloudformation
AI Platforms
Kubernetes
AWS Fargate
Route53
Cloudwatch
Terraform
Job description
- IAM Roles and Policies
- Least Privilege access design
- AWS Organizations
- SSO / Identity Federation
- KMS
- Secrets Manager
- CloudTrail
- Security monitoring and compliance
AWS AI Services
- Amazon Bedrock
- Bedrock Guardrails
- Bedrock API integration
- Foundation Models (Claude, Nova, etc.)
- AI workload governance and security
Monitoring & Observability
- CloudWatch Metrics
- CloudWatch Logs
- CloudWatch Alarms
- CloudTrail
- Dashboard creation
- Alerting and operational monitoring
Cost Management & Governance
- AWS Cost Explorer
- Cost allocation
- Resource tagging strategy
- Reserved Instances / Savings Plans
- Budget creation and monitoring
- Cost optimization reviews
- FinOps fundamentals
Preferred Skills
Infrastructure as Code
- Terraform (preferred)
- CloudFormation
Automation
- Python
- Bash scripting
- Ansible
Requirements
Skills Required: AWS, Kubernetes, Amazon Bedrock, * 5+ years AWS Cloud Engineering experience
- Strong hands-on experience with EC2, EKS, ALB/NLB, VPC, Route53, IAM, CloudWatch, and CloudTrail
- Experience with Amazon Bedrock and AWS AI services
- Strong understanding of AWS cost management, resource tagging, budgeting, and governance
- Experience designing secure, scalable cloud architectures
- Hands-on Terraform or Infrastructure-as-Code experience
- Experience automating cloud operations using Python, PowerShell, or Bash
- Familiarity with enterprise security, compliance, and vulnerability management
Preferred Skills
- FinOps certification or AWS Cost Optimization experience
- Kubernetes administration (EKS)
- AI/GenAI platform engineering using Amazon Bedrock
- AWS Solutions Architect certification
Core Skills (Must Have)
AWS Compute & Containers
- EC2 administration and optimization
- Auto Scaling Groups
- Elastic Load Balancer (ALB/NLB)
- Amazon EKS (Kubernetes)
- ECS/Fargate (preferred)
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