

AWS Lead / Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Lead / Architect on a long-term contract in New York City, NY. Key skills include AWS architecture, Terraform, and DevOps. Candidates should have strong experience in cloud infrastructure, automation, security, and relevant AWS certifications.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 20, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#Kafka (Apache Kafka) #AWS SageMaker #Observability #Web Services #Deployment #MongoDB #Cloud #"ETL (Extract #Transform #Load)" #RDS (Amazon Relational Database Service) #Automation #Elasticsearch #Jenkins #Docker #WAF (Web Application Firewall) #Puppet #Logging #Amazon CloudWatch #AWS Lambda #GitHub #EC2 #Databases #SNS (Simple Notification Service) #Scripting #S3 (Amazon Simple Storage Service) #Scala #Logstash #Python #Infrastructure as Code (IaC) #CHEF #Ansible #AWS IAM (AWS Identity and Access Management) #GCP (Google Cloud Platform) #DevOps #MySQL #Prometheus #GitLab #AWS (Amazon Web Services) #Disaster Recovery #AI (Artificial Intelligence) #Compliance #ML (Machine Learning) #NoSQL #SQS (Simple Queue Service) #Terraform #DynamoDB #Kubernetes #VPC (Virtual Private Cloud) #API (Application Programming Interface) #Load Balancing #Monitoring #Consulting #VPN (Virtual Private Network) #IAM (Identity and Access Management) #Grafana #SageMaker #Computer Science #AWS CloudTrail #Splunk #Security #Azure #Bash #PostgreSQL #Lambda (AWS Lambda)
Role description
Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada, EMEA & APAC.
We are currently hiring a seasoned AWS Lead / Architect who comes with a strong consulting mindset
AWS Lead / Architect
New York City NY β Hybrid
Long Term Contract
Key Skills: AWS Architect, Terraform, advisory plus hands on. Team in India and coordinate with client.
We are seeking an experienced AWS Cloud Platform Engineer to design, implement, and manage scalable, secure, and highly available cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have expertise in cloud architecture, automation, security, and DevOps practices, ensuring the efficient operation of cloud-based applications and services.
Key Responsibilities
Cloud Architecture & Infrastructure Management
Design, deploy, and manage cloud infrastructure using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, VPC, API Gateway, and CloudFront.
Ensure high availability, scalability, and reliability of cloud-based systems.
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
Optimize cloud resources for cost, performance, and security.
Automation & DevOps
Develop CI/CD pipelines using AWS CodePipeline, GitHub Actions, Jenkins, or GitLab CI/CD.
Automate deployment and configuration management using Ansible, Chef, or Puppet.
Implement containerization and orchestration using Docker and Kubernetes (EKS).
Maintain Infrastructure as Code (IaC) best practices for repeatable, scalable deployments.
Security & Compliance
Implement security best practices using AWS IAM, KMS, Security Groups, and Network ACLs.
Ensure compliance with ISO, SOC, HIPAA, and other regulatory standards.
Monitor security threats using AWS GuardDuty, AWS Config, AWS Security Hub, and WAF. Apply zero-trust security principles and manage secure access controls.
Monitoring & Performance Optimization
Set up observability and monitoring using Amazon CloudWatch, AWS X-Ray, Prometheus, or Grafana.
Optimize application performance using AWS Auto Scaling, Load Balancers, and caching strategies.
Analyze logs and troubleshoot issues using AWS CloudTrail, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.
Networking & Connectivity
Design and manage VPCs, subnets, route tables, and VPN connectivity.
Implement hybrid cloud solutions using AWS Direct Connect and Site-to-Site VPN. Optimize DNS management using Amazon Route 53.
Disaster Recovery & Backup
Implement backup and disaster recovery solutions using AWS Backup, S3 Versioning, and Glacier.
Define RTO (Recovery Time Objective) and RPO (Recovery Point Objective) policies.
Perform regular disaster recovery (DR) testing.
Required Skills & Qualifications
Primary Technical Skills (Must-Have)
Strong expertise in AWS core services (EC2, S3, Lambda, RDS, VPC, IAM, Route 53, CloudFormation, CloudWatch).
Experience with Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
Proficiency in containerization (Docker, Kubernetes EKS). Hands-on experience with CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins, GitLab CI/CD).
Strong scripting and automation skills using Python, Bash, or PowerShell.
Experience in monitoring and logging tools (CloudWatch, Prometheus, Grafana, ELK).
Strong knowledge of AWS security best practices (IAM, KMS, Security Groups, GuardDuty). Familiarity with networking concepts (VPC, VPN, Direct Connect, Load Balancing, Route 53).
Secondary Technical Skills (Nice-to-Have)
Experience with multi-cloud or hybrid cloud environments (Azure, GCP, AWS Outposts). Knowledge of serverless computing (AWS Lambda, API Gateway, Step Functions). Familiarity with AWS Well-Architected Framework.
Experience with data streaming and messaging services (Kafka, Kinesis, SNS, SQS). Understanding of NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL).
Experience in AI/ML workloads on AWS (SageMaker, Bedrock, Lambda with AI models). Education &
Certifications
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field. AWS Certifications (Preferred):
AWS Certified Solutions Architect β Associate or Professional
AWS Certified DevOps Engineer β Professional
AWS Certified Security β Specialty
Soft Skills
Strong problem-solving and troubleshooting abilities.
Excellent communication and teamwork skills.
Ability to work independently and manage multiple priorities. Passion for learning and staying updated with emerging AWS technologies.
Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada, EMEA & APAC.
We are currently hiring a seasoned AWS Lead / Architect who comes with a strong consulting mindset
AWS Lead / Architect
New York City NY β Hybrid
Long Term Contract
Key Skills: AWS Architect, Terraform, advisory plus hands on. Team in India and coordinate with client.
We are seeking an experienced AWS Cloud Platform Engineer to design, implement, and manage scalable, secure, and highly available cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have expertise in cloud architecture, automation, security, and DevOps practices, ensuring the efficient operation of cloud-based applications and services.
Key Responsibilities
Cloud Architecture & Infrastructure Management
Design, deploy, and manage cloud infrastructure using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, VPC, API Gateway, and CloudFront.
Ensure high availability, scalability, and reliability of cloud-based systems.
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
Optimize cloud resources for cost, performance, and security.
Automation & DevOps
Develop CI/CD pipelines using AWS CodePipeline, GitHub Actions, Jenkins, or GitLab CI/CD.
Automate deployment and configuration management using Ansible, Chef, or Puppet.
Implement containerization and orchestration using Docker and Kubernetes (EKS).
Maintain Infrastructure as Code (IaC) best practices for repeatable, scalable deployments.
Security & Compliance
Implement security best practices using AWS IAM, KMS, Security Groups, and Network ACLs.
Ensure compliance with ISO, SOC, HIPAA, and other regulatory standards.
Monitor security threats using AWS GuardDuty, AWS Config, AWS Security Hub, and WAF. Apply zero-trust security principles and manage secure access controls.
Monitoring & Performance Optimization
Set up observability and monitoring using Amazon CloudWatch, AWS X-Ray, Prometheus, or Grafana.
Optimize application performance using AWS Auto Scaling, Load Balancers, and caching strategies.
Analyze logs and troubleshoot issues using AWS CloudTrail, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.
Networking & Connectivity
Design and manage VPCs, subnets, route tables, and VPN connectivity.
Implement hybrid cloud solutions using AWS Direct Connect and Site-to-Site VPN. Optimize DNS management using Amazon Route 53.
Disaster Recovery & Backup
Implement backup and disaster recovery solutions using AWS Backup, S3 Versioning, and Glacier.
Define RTO (Recovery Time Objective) and RPO (Recovery Point Objective) policies.
Perform regular disaster recovery (DR) testing.
Required Skills & Qualifications
Primary Technical Skills (Must-Have)
Strong expertise in AWS core services (EC2, S3, Lambda, RDS, VPC, IAM, Route 53, CloudFormation, CloudWatch).
Experience with Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
Proficiency in containerization (Docker, Kubernetes EKS). Hands-on experience with CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins, GitLab CI/CD).
Strong scripting and automation skills using Python, Bash, or PowerShell.
Experience in monitoring and logging tools (CloudWatch, Prometheus, Grafana, ELK).
Strong knowledge of AWS security best practices (IAM, KMS, Security Groups, GuardDuty). Familiarity with networking concepts (VPC, VPN, Direct Connect, Load Balancing, Route 53).
Secondary Technical Skills (Nice-to-Have)
Experience with multi-cloud or hybrid cloud environments (Azure, GCP, AWS Outposts). Knowledge of serverless computing (AWS Lambda, API Gateway, Step Functions). Familiarity with AWS Well-Architected Framework.
Experience with data streaming and messaging services (Kafka, Kinesis, SNS, SQS). Understanding of NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL).
Experience in AI/ML workloads on AWS (SageMaker, Bedrock, Lambda with AI models). Education &
Certifications
Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field. AWS Certifications (Preferred):
AWS Certified Solutions Architect β Associate or Professional
AWS Certified DevOps Engineer β Professional
AWS Certified Security β Specialty
Soft Skills
Strong problem-solving and troubleshooting abilities.
Excellent communication and teamwork skills.
Ability to work independently and manage multiple priorities. Passion for learning and staying updated with emerging AWS technologies.