Senior AWS DevOps Engineer: Terraform & Kubernetes

EPAM Systems Inc; Quilmes; Remote; ARS 139,086,000 - 185,448,000; Full time

Job summary

EPAM Systems Inc. seeks a Senior DevOps Engineer to own and scale AWS-based infrastructure, automation, and data pipelines. You will build reusable Terraform modules, manage ECS/Fargate workloads, and implement robust CI/CD with Jenkins+.

The role emphasizes security, cost efficiency, and 24/7 reliability in a high-throughput production environment. Ideal candidates have 5+ years in DevOps, SRE, or Platform Engineering, with strong Python and automation skills, and experience with

Qualifications

• Experience with cloud-based infrastructure, scalable architectures, and 24/7 production environments.
• Proficiency in Terraform modules, IaC best practices, and multi-environment deployments.
• Strong practical knowledge of containerization and CI/CD pipelines.

Responsibilities

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right-sizing and architecture decisions.
• Automate operational processes using Python, Bash, and AWS Lambda.
• Strengthen infrastructure security and credential protection.

Skills

AWS

Terraform

Docker

CI/CD

Python

Security

Monitoring

Tools

Jira

Confluence

Git

Jenkins

Job description

EPAM Systems Inc. seeks a Senior DevOps Engineer to own and scale AWS-based infrastructure, automation, and data pipelines. You will build reusable Terraform modules, manage ECS/Fargate workloads, and implement robust CI/CD with Jenkins+.

The role emphasizes security, cost efficiency, and 24/7 reliability in a high-throughput production environment. Ideal candidates have 5+ years in DevOps, SRE, or Platform Engineering, with strong Python and automation skills, and experience with