AWS Cloud Engineer

Plano, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
24 Months
Able to Sponsor
On-site
$80 - $90/hr
Fitment

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Job Details

Skills

  • Amazon DynamoDB
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Artificial Intelligence
  • DevOps
  • Docker
  • Immigration
  • React.js
  • Workflow
  • Cascading Style Sheets

Summary

Job Title: AWS Cloud Engineer

Location: Plano, TX.

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:

Looking for senior engineers with an application background and can code
Looking for candidates with infrastructure exp
Would love to have candidates with front end experience but that is not a critical requirement.
Skills needed: Backend python and typescript/ DevOps building pipelines/ Bedrock Responsibilities:

  • A Full Stack Cloud Engineer responsible for building and maintaining modern applications across front-end and back-end, leveraging AWS for scalability and security, while incorporating AI/ML capabilities such as LLM-powered features, intelligent APIs, and automation workflows.

Qualifications

  • Front-End Development
  • Build responsive, accessible UI using HTML5, CSS3, TypeScript, and React.
  • Optimize performance and implement unit/E2E testing (e.g., Vitest, Tailwind).
  • Back-End Development
  • Develop scalable services and APIs using TypeScript and Python.
  • Design and maintain microservices architecture.
  • Cloud Engineering
  • Deploy and manage applications on AWS (ECS, Lambda, S3, DynamoDB).
  • Implement IaC (CloudFormation/Terraform) and CI/CD via GitHub.
  • Apply AWS security best practices (IAM, secure design).
  • Poly cloud understanding a plus (Google Cloud Platform, Azure)
  • DevOps & Automation
  • Automate deployments, monitoring, and scaling (CloudWatch, Splunk, Docker/ECS).
  • Optimize application performance and reliability.
  • AI / ML Engineering
  • Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows).
  • Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker).
  • Optimize and monitor models for accuracy, drift, bias, and observability.
  • Leverage Claude/equivalent frontier models to engineer solutions
    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: 9026699
  • Posted 1 day ago
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KN

Kavya Nair

Recruiter @ QUANTUM TECHNOLOGIES LLC
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