AWS Lead / Cloud Architect

MACHINE LEARNING TECHNOLOGIES LLC; Raritan (NJ); On-site; USD 124,000 - 179,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an AWS Lead / Cloud Architect to design and implement AWS-based cloud architectures in Raritan, NJ. The role includes leading migrations, defining blueprints, and ensuring security and governance across environments.

You will collaborate with DevOps and product teams to deliver scalable, event-driven systems with IaC and CI/CD pipelines. This is a high-impact, on-site opportunity in the New Jersey area.

Qualifications

• Design and implement end-to-end cloud architectures leveraging AWS services.
• Lead cloud migration and modernization projects from assessment to deployment.
• Define architecture blueprints, landing zones, and reference models for onboarding.
• Ensure security, IAM, and governance standards across AWS accounts.
• Optimize infrastructure for performance, scalability, and cost efficiency.

Responsibilities

• Design and implement cloud architectures on AWS across compute, storage, and networking.
• Lead migration and modernization initiatives from discovery to deployment.
• Create architecture blueprints, landing zones, and onboarding models.
• Enforce IAM, security controls, and governance across accounts and workloads.
• Improve performance, scalability, and cost efficiency with best practices.
• Collaborate with developers, DevOps, and product teams on microservices.

Skills

Cloud architecture design

AWS expertise

DevOps collaboration

CI/CD practices

Security & governance awareness

Event-driven architectures

Tools

Terraform

CloudFormation

CDK

Docker

ECS

EKS

Job description

Job Description

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

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

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.