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Python Developer / DevOps Engineer

  • Job type Posted on: May 16, 2026
  • Experience level Samprasoft
  • Employment type Malvern, Pennsylvania
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Python Developer / DevOps Engineer

Job Type :

Full-time

Job Location :

Malvern Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Job Title Migrated key systems from on-prem hosting to AWS Worked in Agile and Scrum methodologies/practices Worked on designing and developing a multitude application utilizing almost all of the main services of the AWS stack (like EC2, ECS, EKS, S3, RDS, VPC, IAM, ELB, Cloud Watch, Route 53, Lamba and CloudFormation) Working knowledge of AWS VPC, subnets, Internet Gateway, Route Table Performed EC2 RHEL upgrades without application downtime Leveraging AWS SDK's to interact with AWS services from the app Setup and automate high availability clusters with AWS Autoscaling, Load Balancers and Route53 SSO in cloud Estimating AWS usage costs and identifying operational cost control mechanisms Monitoring via Splunk, Cloudwatch, Cloudtrail Used Elastic Load Balancers (ELB) with EC2 autoscaling in several availability zones to achieve high availability and fault tolerant environment. Managed in detail monitoring through CloudWatch and alarm notifications.

Jobcon Logo Position Details

Posted:

May 16, 2026

Reference Number:

14660_557375B8DB04A0ED5CFBA5A192C82C11

Employment:

Full-time

Salary:

Not Available

City:

Malvern

Job Origin:

APPCAST_CPC

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Job Title Migrated key systems from on-prem hosting to AWS Worked in Agile and Scrum methodologies/practices Worked on designing and developing a multitude application utilizing almost all of the main services of the AWS stack (like EC2, ECS, EKS, S3, RDS, VPC, IAM, ELB, Cloud Watch, Route 53, Lamba and CloudFormation) Working knowledge of AWS VPC, subnets, Internet Gateway, Route Table Performed EC2 RHEL upgrades without application downtime Leveraging AWS SDK's to interact with AWS services from the app Setup and automate high availability clusters with AWS Autoscaling, Load Balancers and Route53 SSO in cloud Estimating AWS usage costs and identifying operational cost control mechanisms Monitoring via Splunk, Cloudwatch, Cloudtrail Used Elastic Load Balancers (ELB) with EC2 autoscaling in several availability zones to achieve high availability and fault tolerant environment. Managed in detail monitoring through CloudWatch and alarm notifications.

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