AWS Lead / Cloud Architect

• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs-Portal
• Contact Us
• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs-Portal
• Contact Us

Job Description

Job Overview

• Job ID:

J51898

• Job Title:

AWS Lead / Cloud Architect

• Location:

Raritan, NJ

• Duration:

12 Months + Extension

• Hourly Rate:

Depending on Experience (DOE)

• Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

View All Jobs

Similar Jobs

• Oracle HCM Cloud Technical Consultant - Kansas, KY
• QA Lead - Alpharetta, GA
• AWS Cloud Developer - Trenton, NJ
• .Net Fullstack Lead - Hartford, CT
• AI/ML Tech lead with Gen AI - Rosemead, CA

Key Responsibilities

Design and implement end-to-end cloud architectures leveraging AWS services (compute, storage, networking, and serverless).

Lead cloud migration and modernization projects — from assessment to deployment.

Define architecture blueprints, landing zones, and reference models for application onboarding.

Ensure compliance with security, IAM, and governance standards across AWS accounts and workloads.

Optimize infrastructure for performance, scalability, and cost efficiency using best practices.

Work closely with developers, DevOps, and product teams to design microservices and event-driven architectures.

Establish and enforce CI/CD pipelines, Infrastructure as Code (IaC) standards (Terraform / CloudFormation).

Core AWS Services

EC2, ECS, EKS, Lambda, API Gateway, S3, CloudFront, RDS, DynamoDB, SNS/SQS, Step Functions, CloudWatch, CloudTrail, IAM, KMS, Opensearch, Kafka and Secrets Manager.

Architecture & Design

Microservices and serverless architectures

Event-driven and asynchronous systems

High-availability and disaster recovery (multi-AZ / multi-region)

Networking (VPC design, Transit Gateway, Route 53, VPN, Direct Connect)

DevOps / Automation

IaC using Terraform, CloudFormation, or CDK

CI/CD using GitHub Actions, Jenkins, or AWS CodePipeline

Containerization and orchestration (Docker, ECS, EKS, Fargate)

Monitoring & logging: CloudWatch, Prometheus, Grafana, ELK/OpenSearch

Security & Governance

IAM design, policies, and role-based access control

AWS Organizations, Control Tower, and Security Hub

Compliance (ISO, SOC2, GDPR) awareness

Apply Now

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

• Home

|

• About

|

• Adaptive AI

|

• Industries

|

• Consulting

|

• Contact Us

© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.