Hiring for Cloud Infrastructure Engineer :: Malvern, PA :: Vanguard
shivare...@gmail.com
Client: Vanguard
Location: Malvern, PA
Hi, we are looking for to hire a Cloud Infrastructure
Engineer to support the AI/ML deployment pipeline.
We are looking for an engineer to join the Fraud Risk Services Engineering team. This is part of the broader Fraud Modernization Program where we are buying and building controls to proactively stop fraud. Due to the nature of Fraud we want to provide these controls as abstracted services to ease integration and adoption into client journeys with the focus this year being in Personal Investor. The scope of the program is global and across other lines of business as well.
This role is for someone to support our AI / ML deployment pipeline.
Required Tech Skills:
- Node.js
- AWS
- AWS Step Functions
- AWS Lambdas
- AWS Fraud Detector
- CloudFormation
- Splunk
Qualifications
Skills required for an infrastructure engineer to accomplish those tasks:
AWS Services Knowledge:
Proficiency in AWS Lambda for serverless computing.
Understanding of AWS Step Functions for orchestrating serverless workflows.
Familiarity with CloudFormation Templates (CFTs) for infrastructure as code (IaC).
Experience with AWS ECS (Elastic Container Service) for containerized deployments.
Knowledge of CloudFront for content delivery network (CDN) setup and optimization.
Understanding of Route 53 for DNS management and routing traffic.
Infrastructure as Code (IaC):
Proficiency in writing CloudFormation Templates (CFTs) to define and provision AWS resources.
Experience with infrastructure automation tools like AWS CDK (Cloud Development Kit) is preferred.
Serverless Architecture: Ability to design, implement, and optimize serverless architectures using AWS Lambda and Step Functions.
Containerization:
Experience with containerization technologies like Docker for packaging applications.
Proficiency in managing containerized deployments using AWS ECS.
Networking and DNS:
Knowledge of networking concepts relevant to AWS, including VPC (Virtual Private Cloud) setup and configuration.
Experience with Route 53 for domain registration, DNS routing, and health checks.
Security Best Practices: Understanding of AWS security best practices, including IAM (Identity and Access Management), security groups, and encryption.
Monitoring and Logging: Proficiency in setting up monitoring and logging for AWS services using CloudWatch.
Continuous Integration/Continuous Deployment (CI/CD):
Familiarity with CI/CD pipelines for automated deployment using tools like Bamboo.
Experience with Git or other version control systems for managing code changes.
Machine Learning skills: Basic understanding of concept like feature engineering, training, and testing models. Deep understanding of Model development lifecycle is not required.