AWS Cloud Engineer

Jersey City, NJ, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
24 Months
Travel Required
Able to Sponsor
On-site
$89/hr
Fitment

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Job Details

Skills

  • API
  • Node.js
  • Optimization
  • Meta-data Management
  • Unit Testing
  • SAP BASIS
  • Microsoft Windows Administration
  • Storage
  • Snow Flake Schema
  • Workflow
  • Microservices
  • Python
  • Terraform
  • Salesforce.com
  • Jersey

Summary

Job Title: AWS Cloud Engineer

Location: Jersey City, NJ

Duration: 6 Months + Extension

Bill Rate: $89/hour on C2c

Job Type: C2C/1099

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

 

Job Description:

 

We are seeking an experienced AWS Cloud Engineer with 10+ years of experience in designing, implementing, and supporting scalable, secure, and highly available AWS cloud infrastructure.

The ideal candidate will have strong hands-on expertise with AWS cloud services, Infrastructure as Code, CI/CD, configuration management, containers, Linux/Windows administration, monitoring, security, cloud migration, and cost optimization.

 

Key Responsibilities

  • Design and maintain automated CI/CD pipelines across Salesforce (Copado), AWS workloads (GitHub Actions, AWS Code Pipeline), and analytics environments.
  • Architect automated release workflows in Copado, standardizing deployment stages, metadata validations, and org-to-org synchronization.
  • Develop, test, and deploy serverless applications and backend microservices in AWS using Python or Node.js (AWS Lambda, API Gateway, SQS/SNS, Event Bridge).
  • Build and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS storage/compute (S3), and Snowflake.
  • Develop, provision, and maintain cloud infrastructure and application environments using CloudFormation and Terraform.
  • Support automated schema migrations, objects, and deployment pipelines for enterprise cloud data platforms (Snowflake).
  • Define and enforce enterprise Git/GitHub branching strategies, pull request workflows, and merge conflict resolutions across application code and IaC templates.
  • Integrate automated unit testing, linting, secrets management, and security vulnerability scanning into pipeline deployment stages.
  • Oversee multi-tier sandbox seeding, data masking, and metadata parity across enterprise environments.
  • Configure application telemetry, pipeline metrics, and operational monitoring across Amazon CloudWatch and Salesforce diagnostic tools.
  • Author runbooks, API documentation, deployment architecture diagrams, and release governance standards.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law .

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099737
  • Position Id: 9140527
  • Posted 1 hour ago
Contact the job poster
KN

Kavya Nair

Recruiter @ QUANTUM TECHNOLOGIES LLC

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