Pyromis
Python Developer with AWS
Pyromis, San Juan Capistrano, California, United States, 92675
Position Details: Python Developer with AWS
Location:
San Juan Capistrano, California Openings:
2 Salary Range: Description: Role:
Python Developer with AWS Duration:
Long Term Contract Location:
Malvern PA Minimum Requirements: AWS at expert level Development/Coding experience Python (Strong & Must) Responsibilities: Worked in Agile and Scrum methodologies/practices Migrated key systems from on-prem hosting to AWS Designed and developed applications utilizing AWS services (like EC2, ECS, EKS, S3, RDS, VPC, IAM, ELB, Cloud Watch, Route 53, Lambda, and CloudFormation) Working knowledge of AWS VPC, subnets, Internet Gateway, Route Table Performed EC2 RHEL upgrades without application downtime Leveraged AWS SDKs to interact with AWS services from the app Set up and automated high availability clusters with AWS Autoscaling, Load Balancers, and Route 53 Implemented SSO in cloud Estimated AWS usage costs and identified operational cost control mechanisms Used Elastic Load Balancers (ELB) with EC2 autoscaling in several availability zones to achieve high availability and fault-tolerant environment. Managed detailed monitoring through CloudWatch and alarm notifications. Understanding of Service Quotas in AWS Experience with Java, Spring Boot, and CI/CD pipeline tools Worked on deployment automation using Shell with a focus on DevOps and CI/CD Jenkins Knowledge of Python scripts Knowledge of performance testing using tools
#J-18808-Ljbffr
Location:
San Juan Capistrano, California Openings:
2 Salary Range: Description: Role:
Python Developer with AWS Duration:
Long Term Contract Location:
Malvern PA Minimum Requirements: AWS at expert level Development/Coding experience Python (Strong & Must) Responsibilities: Worked in Agile and Scrum methodologies/practices Migrated key systems from on-prem hosting to AWS Designed and developed applications utilizing AWS services (like EC2, ECS, EKS, S3, RDS, VPC, IAM, ELB, Cloud Watch, Route 53, Lambda, and CloudFormation) Working knowledge of AWS VPC, subnets, Internet Gateway, Route Table Performed EC2 RHEL upgrades without application downtime Leveraged AWS SDKs to interact with AWS services from the app Set up and automated high availability clusters with AWS Autoscaling, Load Balancers, and Route 53 Implemented SSO in cloud Estimated AWS usage costs and identified operational cost control mechanisms Used Elastic Load Balancers (ELB) with EC2 autoscaling in several availability zones to achieve high availability and fault-tolerant environment. Managed detailed monitoring through CloudWatch and alarm notifications. Understanding of Service Quotas in AWS Experience with Java, Spring Boot, and CI/CD pipeline tools Worked on deployment automation using Shell with a focus on DevOps and CI/CD Jenkins Knowledge of Python scripts Knowledge of performance testing using tools
#J-18808-Ljbffr