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AWS Automation Engineer
Remote / Online - Candidates ideally in
Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listed on 2026-08-21
Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listing for:
Tekfortune
Remote/Work from Home
position Listed on 2026-08-21
Job specializations:
-
Software Development
AWS
Job Description & How to Apply Below
AWS Automation Engineer
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In 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:
- 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/Node.js 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 Open Search/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 Event Bridge 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.
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