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AWS (Python) Developer

Hybrid in Malvern, PA, US • Posted 4 hours ago • Updated 4 hours ago

Contract W2

Contract Independent

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

AWS
python

Summary

4) AWS (Python) Developer - 70hrc2c - 1 opening

Job Description

Technical Stack & Requirements: Infrastructure: AWS Lambda, EventBridge, SNS, IAM (policies), and EC2 management (troubleshooting, AMI configurations). Deployment: Deep proficiency with client s internal "CloudBlocks" (wrapper over CloudFormation). Programming: Python (for Lambda functions). Strategic Responsibility: Act as the lead authority for resolving infrastructure-level impediments, encompassing cross-account access, S3 governance, and the continuous maintenance of event-driven architectures. Qualifications: 8+ years of experience in cloud development. Expertise in managing and troubleshooting AWS infrastructure. Strong understanding of event models and serverless architecture. Experience with GitHub Actions for deployment automation. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline. 7+ years of professional software engineering experience. 5+ years of hands-on AWS development experience. Strong proficiency in Python and/or Java. Experience developing cloud-native microservices and REST APIs. Hands-on experience with AWS services including Lambda, API Gateway, ECS/EKS, S3, DynamoDB, RDS, SNS, SQS, EventBridge, and Step Functions. Strong knowledge of distributed systems, asynchronous messaging, and event-driven architecture. Experience with SQL and NoSQL databases. Familiarity with CI/CD pipelines, Git, and Infrastructure as Code. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience in Financial Services, Banking, Asset Management, or FinTech. AWS Certified Developer Associate or AWS Certified Solutions Architect. Experience with Terraform, CloudFormation, or AWS CDK. Hands-on experience with Docker and Kubernetes (EKS). Familiarity with AI/ML integrations using Amazon Bedrock or SageMaker. Knowledge of event streaming technologies such as Kafka or Amazon MSK. Experience implementing secure coding practices and cloud security controls.

Job Responsibilities

This mission-critical role serves as the backbone of our infrastructure and data pipeline integration. You will spearhead the technical framework that empowers our data ecosystem, ensuring robust cloud-to-ground connectivity and maintaining secure, high-efficiency environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172358
Position Id: 9040276
Posted 4 hours ago

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Nooruddin Ghani

Senior Technical Recruiter @ Drevol LLC

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