AWS Engineer - Hybrid - In person interview

*** Very long term; initial PO for 1 year and usually goes for 3+ years *** Hybrid in person interview **** need 3 references ****

Job Description:

• At least three (3) years of experience with AWS cloud platform and services like Amazon Elastic Compute Cloud (EC2)/virtual machines (VM) Instances, S3/Cloud Storage, Serverless (AWS Lambda, Cloud Functions), and IAM (Identity & Access Management).
• At least three (3) years with CI/CD tools in particular GitHub and basic version control workflows.
• At least three (3) years of experience using Infrastructure as Code (IaC) with Terraform, AWS CloudFormation, or Azure Resource Manager (ARM) templates.
• At least three (3) years of experience to build, deploy, and debug basic web applications with familiarity with APIs [Representational State Transfer (REST)] and using Python, Node.js or C#.
• At least three (3) years of experience using Docker, Kubernetes [Amazon Elastic Kubernetes Service (EKS)] and container orchestration.
• At least three (3) years of experience of structured query language (SQL) and/or not only SQL (NoSQL) databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB).
• At least three (3) years of experience with Encryption standards, Secrets management (AWS Secrets Manager, HashiCorp Vault), Compliance frameworks [Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and System and Organization Controls 2 (SOC2)].

• Familiarity with the AWS Well-Architected Framework and ability to apply its principles in designing scalable and secure solutions.
• Experience with migrating legacy systems to AWS cloud-native services or re-platforming existing workloads.
• Experience with cost optimization strategies using AWS Cost Explorer, Trusted Advisor, or resource tagging and chargeback models.
• Experience with automated security and compliance enforcement using tools like AWS Config, Security Hub, or custom Lambda policies.
• Experience setting up centralized logging using CloudWatch Logs, CloudTrail, or third-party tools like Splunk.
• Scripting experience with Bash, PowerShell, or equivalent.
• Experience with Artificial Intelligence/Machine Learning (AI/ML) cloud services (e.g., SageMaker) and multi-cloud architecture.
• Retirement system experience