AWS Automation Engineer
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not provided by the employer
Posted:
8 September 2026 (14 hours ago)
Application Deadline:
6 December 2026
Vacancies:
1 Vacancy
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.
Role: AWS Automation Engineer
Location: Charlotte NC Jersey City NJ Atlanta GA
Duration: 6 Months
Required Skills: AWS
Job Description:
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at .
Role: AWS Automation Engineer
Location: Charlotte NC Jersey City NJ Atlanta GA
Duration: 6 Months
Required Skills: AWS
Job Description:
- Execute short term manual data and document extraction activities in support of current GDMS operations while bulk extraction automation capabilities are being implemented.
- Design and build bulk extraction automation components that reduce or eliminate manual work using AWS hosted services and patterns consistent with the GDMS architecture.
- Develop Lambda/ and Fargate based processing functions to perform extraction transformation validation and related processing for GDMS utility workflows across supported schemas.
- Implement AWS Step Functions workflows for Claims Underwriting and Ad hoc extraction types orchestrating OpenSearch/DynamoDB queries processing steps and downstream actions.
- Build and enhance Angular UI features on ECS/Fargate to support the admin and request interfaces including criteria input CSV upload status tracking and access to extraction results.
- Design and implement DynamoDB data models and lifecycle patterns to track requests criteria sets execution metadata and audit information for bulk extract upload and delete operations.
- Implement S3 storage structures including folder level access controls and naming conventions to store extracted documents and metadata files in alignment with GDMS bulk extraction requirements.
- Integrate Amazon SES to support email based notifications confirmations and approval workflows associated with extraction and related GDMS utility jobs.
- Develop REST APIs and event driven integrations using services such as SQS SNS and EventBridge to trigger and coordinate bulk extract upload and delete jobs based on criteria files and admin portal actions.
- Perform data parsing transformation checksum validation and document processing required to meet the functional and quality expectations of in scope bulk extraction upload and delete scenarios.
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at .
Required Experience:
IC