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Associate Cloud Consultant Associate Accelerator Program

Full-TimeUpdated on 10/25/2026
No salary listed
Mid
New York, NY, USA
HybridHybrid work environment in NYC Metro Area.
DevOps & InfrastructureCloud Engineering
No H1B Sponsorship

About the job

Requirements
  • At least 3 years of work experience designing and implementing proof-of-concept cloud solutions as part of the program.
  • U.S. work authorization is required; candidates must be legally authorized to work in the United States without current or future employer sponsorship.
Responsibilities
  • Read, comprehend, and present AWS best practices and strategies.
  • Build and deploy infrastructure and automate operations.
  • Design and automate security and compliance solutions.
  • Design AWS Data Lake implementations.
  • Design and develop AWS Data Quality and Governance solutions.
  • Develop technical content such as automation tools, reference architectures, and white papers to help customers build on the cloud.
  • Convey customer needs and feedback to support solution development and inform technology roadmaps; share implementation challenges and recommend expanded or new capabilities.
  • Assist with technical briefs documenting solutions and reference architecture implementations.
  • Work with Marketing and Alliances to write blog posts.
  • Develop proof-of-concept code to automate AWS account setup and configuration, including a Continuous Delivery Pipeline framework for repeatable, reliable, and secure deployment of configured and tested AWS infrastructure.
  • Develop Service Control Policies and account baselines to address customer security and compliance requirements.
  • Develop Infrastructure-as-Code for application infrastructure and automate delivery of configured AWS resources.
  • Develop application-specific configuration management modules to automate server configuration, including software installation and configuration.
  • Develop a Service Catalog Pipeline framework to orchestrate building, testing, deploying, and validating infrastructure automation code.
  • Develop proof-of-concept code for pipeline automation, including pipeline Infrastructure-as-Code.
  • Identify and document customer policies as statements that must hold true for AWS resource configurations.
  • Develop policy-as-code logical tests to verify AWS infrastructure configuration and block builds, take automated action, or alert on policy violations.
  • Design frameworks to run logical tests against infrastructure code or running AWS infrastructure, verifying resource configuration and blocking builds, taking automated action, or alerting on policy violations.
  • Develop proof-of-concept code for collecting, ingesting, cataloging, storing, and serving data from up to two on-premises data sources.
  • Build AWS data lakes using AWS analytics services in a multi-account environment.
  • Implement modern big-data lambda architecture for consuming and using data from batch or streaming sources.

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