Remote Senior DevOps Engineer — AWS, Kubernetes, CI/CD

Loanbud; Quilmes; Hybrid; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Flexible hours

Remote and office options

Professional growth

Team activity budgets

Job summary

AgileEngine is seeking aSenior DevOps Engineer to design, deploy, and maintain scalable AWS infrastructure, focusing on high availability, cost efficiency, and security. You will manage containerized workloads with ECS/Fargate, automate pipelines with Terraform and Jenkins, and monitor distributed systems across production.

The role requires 5+ years in DevOps/SRE, advanced Kubernetes/EKS skills, and strong Python scripting. Flexible schedule with remote and office options is provided.

Qualifications

• 5+ years in Cloud Engineering, DevOps, or SRE with hands-on AWS EKS experience.
• Strong experience operating AWS infrastructure in production environments.
• Advanced Kubernetes and EKS expertise including workload operations and reliability.
• Terraform infrastructure-as-code with reusable modules and multi-environment deployments.
• Experience building and hardening CI/CD pipelines and production release processes.

Responsibilities

• Design, deploy, and maintain scalable, secure AWS infrastructure.
• Manage containerized workloads with ECS/Fargate, ALB/NLB, and autoscaling.
• Develop reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms and data infrastructure.
• Implement monitoring, logging, alerting, and incident response.

Skills

AWS

Terraform

Kubernetes

CI/CD

Python

Security

Monitoring

Linux

Docker

Argo Workflows

Tools

Jenkins

Git

Jira

Confluence

ECS/Fargate

EKS

Prometheus

Grafana

OpenSearch

Job description

AgileEngine is seeking aSenior DevOps Engineer to design, deploy, and maintain scalable AWS infrastructure, focusing on high availability, cost efficiency, and security. You will manage containerized workloads with ECS/Fargate, automate pipelines with Terraform and Jenkins, and monitor distributed systems across production.

The role requires 5+ years in DevOps/SRE, advanced Kubernetes/EKS skills, and strong Python scripting. Flexible schedule with remote and office options is provided.