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AWS Software / Data Engineer - Remote
Kforce • Phoenix, AZ
No Relocation
Posted: September 10, 2026
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
Requirements
- 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
- DynamoDB
- Aurora
- Redshift
- Neptune
- Amazon S3
- Amazon SageMaker
- Amazon Bedrock
- Feature Stores
- Model Monitoring and MLOps practices
- Knowledge Retrieval & RAG Solutions
- Amazon Bedrock Knowledge Bases
- OpenSearch
- AWS Lambda
- Amazon S3
- Real-Time Data Processing
- Kafka/Amazon MSK
- Kinesis
- EventBridge
- AWS Glue
- API Gateway
- AWS Lambda
- AI Application & Agent Development
- AI-powered applications
- Agentic architectures
- Amazon Bedrock Agents
- Containerized workloads (ECS/EKS)
- CloudWatch monitoring
- Secrets Manager
- Secure AI deployment practices