AWS Software / Data Engineer - Remote

Kforce has a client that is seeking a Remote AWS Software/Data Engineer for a 6 month contract role. About the Opportunity: We are seeking an experienced AWS Software/Data Engineer to help build and scale intelligent platforms that power personalization, predictive analytics, knowledge retrieval, and AI-driven experiences. This role sits at the intersection of software engineering, cloud infrastructure, data engineering, and applied AI. The ideal candidate is a hands-on engineer who enjoys building reliable, production-grade systems from the ground up. You'll develop scalable services that transform data and events into actionable insights and contextual intelligence for downstream applications and AI-powered solutions. Key Responsibilities:

• Design, develop, and maintain scalable cloud-native applications and services using Python
• Build and support APIs, automation frameworks, data processing pipelines, and AI-enabled services
• Manage and automate cloud infrastructure using Infrastructure as Code (IaC) principles and tools
• Develop longitudinal data models and contextual intelligence platforms leveraging AWS data services
• Build and operationalize machine learning and predictive analytics solutions in production environments
• Create knowledge retrieval and RAG-based systems that provide trusted, traceable information to AI applications
• Develop real-time event-driven architectures that process behavioral and operational data streams
• Enable AI and agent-based applications through secure, observable, and scalable cloud services
• Partner with cross-functional teams to deliver high-quality, production-ready engineering solutions
• Strong professional experience developing software applications with Python
• Hands-on experience designing and supporting production workloads in AWS
• Experience with Infrastructure as Code tools such as Terraform
• Knowledge of AWS networking, security, IAM, and CI/CD pipeline implementation
• Experience building and maintaining event-driven and distributed systems
• Strong understanding of system reliability, monitoring, observability, and operational excellence
• Proven experience delivering solutions from concept through production
• Ability to work across software engineering, data engineering, cloud infrastructure, and AI/ML domains
• Experience building highly available, reusable platforms rather than one-off solutions
• Strong ownership mentality and a passion for creating scalable, maintainable systems

Preferred: Experience with one or more - Data Engineering & Modeling:

• DynamoDB
• Aurora
• Redshift
• Neptune
• Amazon S3

Experience with Machine Learning & AI Platforms:

• Amazon SageMaker
• Amazon Bedrock
• Feature Stores
• Model Monitoring and MLOps practices
• Knowledge Retrieval & RAG Solutions

Experience building solutions using:

• Amazon Bedrock Knowledge Bases
• OpenSearch
• AWS Lambda
• Amazon S3
• Real-Time Data Processing

Experience with:

• Kafka/Amazon MSK
• Kinesis
• EventBridge
• AWS Glue
• API Gateway
• AWS Lambda
• AI Application & Agent Development

Exposure to:

• AI-powered applications
• Agentic architectures
• Amazon Bedrock Agents
• Containerized workloads (ECS/EKS)
• CloudWatch monitoring
• Secrets Manager
• Secure AI deployment practices