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
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