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AWS Engineer
Job in
Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listed on 2026-09-04
Listing for:
Skilzmatrix
Full Time
position Listed on 2026-09-04
Job specializations:
-
Software Development
AWS, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Job Description
Technical Stack & Requirements:
- Infrastructure: AWS Lambda, Event Bridge, SNS, IAM (policies), and EC2 management (troubleshooting, AMI configurations).
- Deployment:
Deep proficiency with client's internal "Cloud Blocks" (wrapper over Cloud Formation). - 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 Git Hub 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.
- 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, Event Bridge, and Step Functions.
- Strong knowledge of distributed systems, asynchronous messaging, and event-driven architecture.
- Experience with SQL and No
SQL 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 Fin Tech.
- AWS Certified Developer Associate or AWS Certified Solutions Architect.
- Experience with Terraform, Cloud Formation, or AWS CDK.
- Hands-on experience with Docker and Kubernetes (EKS).
- Familiarity with AI/ML integrations using Amazon Bedrock or Sage Maker.
- Knowledge of event streaming technologies such as Kafka or Amazon MSK.
- Experience implementing secure coding practices and cloud security controls.
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.
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