Senior DevOps Engineer - AWS, CI/CD & Data Infra (Remote)

1801 Haleon Argentina S.A.; Rosario; Remote; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay with budgets

Exciting projects with Fortune 500 and

Flextime with remote and officeOptions

Job summary

AgileEngine is seeking a Senior DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment. You will own pipelines, manage Kubernetes clusters, and drive security and reliability across multiple clouds.

The role emphasizes collaboration with software engineers, QA, security, and IT, with 100% remote work in LATAM and a focus on scalable, observable platforms that support data-centric AI initiatives.

Qualifications

• 4+ years of DevOps, SRE, or platform engineering in production.
• 3+ years building CI/CD pipelines with IaC tooling.
• Kubernetes experience with EKS/AKS/GKE and container tooling.
• Strong scripting and cloud platform experience (AWS, Azure, or GCP).

Responsibilities

• Design and operate cloud infrastructure as code with Terraform.
• Own CI/CD pipelines and automated deploys.
• Manage Kubernetes clusters (EKS/AKS/GKE) and workloads.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
• Implement security and PCI-aware patterns.
• Lead incident response and post-mortems.
• Collaborate with developers on platform tooling.

Skills

DevOps/SRE

CI/CD pipelines

Kubernetes

Scripting (Python/Bash/Go)

Cloud platforms (AWS/Azure/GCP)

Observability stacks

PCI/compliance knowledge

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi/CloudFormation

Docker

ArgoCD/Flux

Helm

Job description

AgileEngine is seeking a Senior DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment. You will own pipelines, manage Kubernetes clusters, and drive security and reliability across multiple clouds.

The role emphasizes collaboration with software engineers, QA, security, and IT, with 100% remote work in LATAM and a focus on scalable, observable platforms that support data-centric AI initiatives.