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.

Required Skills:

Strong programming expertise in Python, with hands-on experience in frameworks such as Flask or FastAPI.
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.

Requirements:

Strong problem-solving and analytical skills.
Ability to work in a fast-paced, collaborative environment.
Good understanding of cloud security and best practices.

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