HARAMAIN SYSTEMS INC.
Sr Backend Data Engineer – Generative AI & AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Backend Data Engineer – Generative AI & AWS, based in Malvern, PA or Charlotte, NC, with a contract length of 1+ year. Key skills include Python, Node.js, Java/SpringBoot, and AWS services.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Malvern, PA 19355
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🧠 - Skills detailed
#Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #IAM (Identity and Access Management) #DynamoDB #Cloud #Java #Data Engineering #Azure #Python #AI (Artificial Intelligence) #RDS (Amazon Relational Database Service) #Scala #Security #DevOps #API (Application Programming Interface) #AWS (Amazon Web Services) #EC2
Role description
Sr Backend Data Engineer – Generative AI & AWS Location: Malvern, PA or Charlotte, NC (must be onsite day one) Length: 1+ year (likely to be extended multiple years) Build and optimize backend systems and APIs using Python, Node.js, or Java/SpringBoot, while ensuring scalable, high‑performance architecture supported by CI/CD and modern DevOps practices. Integrate and deploy Generative AI solutions (Bedrock, Azure OpenAI, etc.), including prompt engineering, fine‑tuning, and embedding models into enterprise workflows. Develop cloud‑native services on AWS leveraging EC2, Lambda, S3, RDS/DynamoDB, Glue, API Gateway, IAM, and CloudFormation to support AI‑driven features. Collaborate across engineering and data teams to deliver secure, compliant, well‑documented AI capabilities aligned with privacy, security, and ethical AI standards.
Sr Backend Data Engineer – Generative AI & AWS Location: Malvern, PA or Charlotte, NC (must be onsite day one) Length: 1+ year (likely to be extended multiple years) Build and optimize backend systems and APIs using Python, Node.js, or Java/SpringBoot, while ensuring scalable, high‑performance architecture supported by CI/CD and modern DevOps practices. Integrate and deploy Generative AI solutions (Bedrock, Azure OpenAI, etc.), including prompt engineering, fine‑tuning, and embedding models into enterprise workflows. Develop cloud‑native services on AWS leveraging EC2, Lambda, S3, RDS/DynamoDB, Glue, API Gateway, IAM, and CloudFormation to support AI‑driven features. Collaborate across engineering and data teams to deliver secure, compliant, well‑documented AI capabilities aligned with privacy, security, and ethical AI standards.
