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About the role
Summary: We are seeking a highly skilled Python & AWS Cloud Engineer to design, develop, and manage scalable, cloud-native applications and data integration solutions. The ideal candidate will have strong expertise in Python development, AWS services, and data pipeline engineering, along with experience in building reliable, high-performance systems. Responsibilities: Design, develop, and deploy scalable and high-performance applications using Python. Build and manage cloud-native solutions leveraging AWS services such as AWS Lambda, EC2, Fargate, S3, RDS/Aurora, ALB, and EventBridge. Develop and maintain robust data pipelines and integrations across multiple enterprise systems. Work with Data Cloud platforms (Salesforce Data Cloud / AWS Data Services) for data ingestion, transformation, and synchronization. Optimize applications for performance, scalability, and reliability in a distributed environment. Monitor, troubleshoot, and resolve production issues to ensure system stability and uptime. Requirements: Strong programming expertise in Python, with hands-on experience in frameworks such as Flask or FastAPI. Required Skills: Hands-on experience with AWS services across: Compute: Lambda, EC2, Fargate Storage/Database: S3, RDS/Aurora Networking: Application Load Balancer (ALB), VPC Integration/Messaging: EventBridge, SQS, SNS Experience in designing and developing RESTful APIs and microservices-based architectures. Working knowledge of PostgreSQL or similar relational databases. Solid understanding of ETL processes, data pipelines, and system integrations. Preferred Skills: Experience with Salesforce Data Cloud or CRM integrations. Knowledge of cross-cloud data synchronization (e.g., Salesforce ↔ AWS). Hands-on experience with containerization technologies such as Docker and AWS ECS. Exposure to big data platforms such as Snowflake. #AditiConsulting # 26-04075
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