Job Title: AI Accelerated Integration Engineer
Location: Atlanta, GA
Work Arrangement: Onsite
Mandatory Skills: Python, AWS Lambda, REST APIs
Job Description
We are seeking an AI Accelerated Integration Engineer with strong Python development skills, hands-on AWS serverless experience, and expertise in building REST APIs and data pipelines. The ideal candidate will leverage AI-powered development tools to accelerate coding, testing, and documentation while delivering production-ready solutions.
Key Responsibilities
- Design, develop, and optimize data ingestion and transformation pipelines using Python and modern data processing frameworks.
- Build, deploy, and maintain scalable serverless REST APIs using AWS Lambda and API Gateway.
- Utilize AI-powered coding assistants to accelerate software development, generate automated test suites, and create technical documentation.
- Integrate serverless AWS services with enterprise data platforms to ensure reliable message delivery and state management.
- Work in a fast-paced development environment, delivering high-quality software within accelerated timelines.
- Write clean, maintainable, and well-tested code following enterprise development standards.
Required Skills and Qualifications
- 6+ years of experience in software engineering, data engineering, or a related field.
- Strong proficiency in Python programming and data processing.
- Hands-on experience developing and integrating REST APIs.
- Practical experience with AWS Lambda and serverless application development.
- Strong knowledge of AWS integration services, including:
- Amazon Kinesis
- AWS Lambda
- Amazon SQS
- Amazon EventBridge
- Amazon API Gateway
- Experience with Python data processing frameworks such as Pandas and PySpark.
- Understanding of enterprise integration patterns, event-driven architectures, and data handling.
- Proficiency in using AI-powered development tools to accelerate coding, testing, debugging, and documentation.
Preferred Qualifications
- Familiarity with Databricks and modern data platforms.
- Experience building scalable data pipelines and cloud-native applications.
- Ability to rapidly prototype, develop, test, and deploy production-grade solutions.