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AWS Engineer

RIT Solutions

AWS Engineer

Malvern, PA

All candidates selected for an interview are required to complete our mandatory identity verification process.

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.
Vacancy posted more than 2 months ago

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