Business AWS Consultant
Trenton, Michigan, United States of America
Contract
3 weeks ago
Key skills
PythonBashAIMLSnowflakeAWSTerraformJenkinsAnsibleECSEKSFargateIAMSageMakerBedrockGitCI/CDStakeholder ManagementCommunicationCollaboration
About this role
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Business AWS Consultant
It will be 100% remote role but the candidate must travel to client location on need basis - San Francisco, CA)
We are seeking a seasoned Business AWS Consultant with deep expertise in AWS Cloud Administration and Data & AI infrastructure. This consultant will operate US onsite and will support the administration, governance, and optimization of AWS accounts and services
Day to Day job Duties:
Serve as a senior AWS Cloud Consultant providing strategic advisory and hands-on support for enterprise Data & AI cloud environments.
Assess existing AWS architectures and recommend improvements aligned to scalability, security, governance, and cost optimization goals.
Design and implement enterprise-grade AWS solutions supporting data platforms and AI-driven workloads.
Lead production-level AWS implementations include secure networking, compute, storage, containerization (ECS, Fargate, EKS), and monitoring frameworks.
Drive Infrastructure as Code (Terraform, Ansible) and automation initiatives using Python, Bash, and AWS CLI.
Establish and optimize DevOps and CI/CD pipelines leveraging Git-based repositories and tools such as Jenkins and related toolchains.
Provide governance, observability, and compliance oversight across AWS environments.
Support infrastructure enablement for AI/ML services including SageMaker and exposure to AWS Bedrock.
Facilitate architecture reviews, stakeholder workshops, and cross-functional collaboration with Data, Security, and Engineering teams.
Basic Qualifications:
8 10 years of IT experience, including 5+ years delivering AWS Cloud consulting engagements in enterprise environments.
Strong expertise across AWS core services including networking, compute, IAM, storage, monitoring, and containerized workloads.
Proven experience supporting production-level AWS environments centered around Data Platforms and cloud-native solutions.
Experience leading cloud modernization, automation, and DevOps transformation initiatives.
Familiarity with enterprise data platforms such as Snowflake (preferred).
Exposure to AWS AI ecosystem including SageMaker and foundational knowledge of AWS Bedrock.
Minimum one AWS Cloud certification (required).
Strong stakeholder management and communication skills with the ability to translate business requirements into scalable cloud solutions.
Ability to operate onsite within EST/CST time zones.
MUST HAVE:
1. Led end-to-end AWS environment strategy, architecture design, and infrastructure buildouts from scratch with deep expertise in cloud administration and governance.
2. Hands-on experience architecting and operationalizing solutions within the AWS AI ecosystem, including Amazon SageMaker and AWS Bedrock infrastructure enablement and deployment.
It will be 100% remote role but the candidate must travel to client location on need basis - San Francisco, CA)
We are seeking a seasoned Business AWS Consultant with deep expertise in AWS Cloud Administration and Data & AI infrastructure. This consultant will operate US onsite and will support the administration, governance, and optimization of AWS accounts and services
Day to Day job Duties:
Serve as a senior AWS Cloud Consultant providing strategic advisory and hands-on support for enterprise Data & AI cloud environments.
Assess existing AWS architectures and recommend improvements aligned to scalability, security, governance, and cost optimization goals.
Design and implement enterprise-grade AWS solutions supporting data platforms and AI-driven workloads.
Lead production-level AWS implementations include secure networking, compute, storage, containerization (ECS, Fargate, EKS), and monitoring frameworks.
Drive Infrastructure as Code (Terraform, Ansible) and automation initiatives using Python, Bash, and AWS CLI.
Establish and optimize DevOps and CI/CD pipelines leveraging Git-based repositories and tools such as Jenkins and related toolchains.
Provide governance, observability, and compliance oversight across AWS environments.
Support infrastructure enablement for AI/ML services including SageMaker and exposure to AWS Bedrock.
Facilitate architecture reviews, stakeholder workshops, and cross-functional collaboration with Data, Security, and Engineering teams.
Basic Qualifications:
8 10 years of IT experience, including 5+ years delivering AWS Cloud consulting engagements in enterprise environments.
Strong expertise across AWS core services including networking, compute, IAM, storage, monitoring, and containerized workloads.
Proven experience supporting production-level AWS environments centered around Data Platforms and cloud-native solutions.
Experience leading cloud modernization, automation, and DevOps transformation initiatives.
Familiarity with enterprise data platforms such as Snowflake (preferred).
Exposure to AWS AI ecosystem including SageMaker and foundational knowledge of AWS Bedrock.
Minimum one AWS Cloud certification (required).
Strong stakeholder management and communication skills with the ability to translate business requirements into scalable cloud solutions.
Ability to operate onsite within EST/CST time zones.
MUST HAVE:
1. Led end-to-end AWS environment strategy, architecture design, and infrastructure buildouts from scratch with deep expertise in cloud administration and governance.
2. Hands-on experience architecting and operationalizing solutions within the AWS AI ecosystem, including Amazon SageMaker and AWS Bedrock infrastructure enablement and deployment.