AWS Engineer

Skilzmatrix; Pennsylvania; On-site; USD 140,000 - 170,000; Full time

Job summary

Skilzmatrix is seeking a senior cloud engineer to own and optimize our AWS-based data and service platforms. You will shape the infrastructure, deploy event-driven architectures, and ensure secure, scalable operations across accounts.

You will work with Lambda, API Gateway, ECS/EKS, S3, DynamoDB, and more, using IaC and CI/CD pipelines. Strong Python skills and a deep understanding of distributed systems are essential to succeed in this role.

Qualifications

• 8+ years of experience in cloud development
• 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, 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

Responsibilities

• Spearhead the technical framework for data ecosystem infrastructure and ensure secure, high-efficiency cloud environments.

Skills

Analytical skills

Troubleshooting

Communication

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline

Tools

AWS Lambda

API Gateway

ECS/EKS

S3

DynamoDB

RDS

SNS

SQS

EventBridge

Step Functions

Terraform

CloudFormation

AWS CDK

Docker

Kubernetes

GitHub Actions

Job description

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.
• 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.