AWS Software / Data Engineer - Remote

RESPONSIBILITIES

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

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

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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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