data-focused Mid-Level Cloud Engineer

Sesheng, LLC
Waltham, United States of America
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Waltham, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Big Data
Cloud Engineering
Computer Engineering
Customer Data Management
Information Engineering
ETL
Data Warehousing
Cloud Services
Systems Integration
Transaction Data
Real Time Systems
Large Language Models
Snowflake
Generative AI
Infrastructure as Code (IaC)
Cloudformation
Information Technology
Amazon Web Services (AWS)
Machine Learning Operations
Terraform
Data Pipelines
Databricks

Job description

We are seeking a highly skilled, data-focused Mid-Level Cloud Engineer for a contract engagement supporting a major initiative in the retail/e-commerce sector. In this role, you will architect, optimize, and maintain AWS cloud infrastructure while focusing heavily on data warehouse transformation and the deployment of Large Language Models (LLMs)., * Cloud Infrastructure & Automation: Design, provision, and manage secure, scalable, and highly available AWS environments using Infrastructure as Code (IaC) principles (Terraform or CloudFormation).

  • Data Warehouse Transformation: Build, migrate, and optimize enterprise-grade data warehouses and modern data lakehouses to support massive retail datasets, ensuring seamless ETL/ELT pipelines and real-time processing.
  • LLM & AI/ML Pipelines: Collaborate with data science teams to build, fine-tune, deploy, and scale Large Language Models (LLMs) and Generative AI applications within production AWS environments (utilizing services like Amazon SageMaker, Bedrock, or integrated partner platforms).
  • Industry Domain Application: Apply custom cloud solutions tailored specifically to retail and e-commerce challenges, including inventory optimization, personalization engines, and transactional data streams.
  • Collaboration & Integration: Work closely with cross-functional technical teams, aligning cloud engineering workflows with Sesheng LLC's broader partner ecosystem solutions.

Requirements

  • Industry Experience (Mandatory): Proven track record of working within the Retail or E-commerce sector, displaying a strong understanding of high-volume digital commerce architectures and customer data patterns.
  • AWS Expertise: Minimum of 3-5 years of hands-on experience engineering and administering production AWS environments. Relevant AWS Certifications (AWS Solutions Architect, AWS DevOps Engineer, or AWS Data Engineer) are highly valued.
  • Advanced Data Engineering: Deep, demonstrable experience with data warehouse transformation, data modeling, lakehouse architectures, and big data technologies (e.g., Snowflake, Redshift, or Databricks).
  • AI/ML & LLMs (Mandatory): Practical experience building, deploying, or fine-tuning LLMs and integrating Generative AI components into broader application architectures.
  • Education: A Master's degree in Computer Science, Computer Engineering, or a highly related technical discipline is strongly desired.

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