Kafka Engineer

AWS Developer Location: 3 days onsite (Tuesdays - THursdays) in Malvern PA. 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.

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.

• 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.

• 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.

• 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.

For applications and inquiries,