Senior Cloud & DevOps Engineer - 100% Remote (LATAM)

AgileEngine, LLC.; Rosario; A distancia; ARS 103.480.000 - 155.220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

100% Remote

USD payment

Descripción de la vacante

AgileEngine is seeking a Senior DevOps Engineer to design, build, and operate cloud infrastructure and CI/CD pipelines for Data & AI teams in a PCI-compliant environment. You will own IaC with Terraform, Pulumi, or CloudFormation, manage Kubernetes clusters (EKS), and drive observability with Prometheus, Grafana, and OpenTelemetry.

You will collaborate with software engineers, QA, security, and IT across LATAM regions, ensuring automation, security, and reliability while optimizing cloud costs.

Formación

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years of hands-on experience building CI/CD pipelines and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
• Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
• Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
• Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Solid understanding of cloud security and compliance practices, particularly in PCI-compliant or regulated environments.
• Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on-call rotations.
• Strong written and verbal communication skills; able to work effectively with both technical and non-technical stakeholders.

Responsabilidades

• Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform (or Pulumi/CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue-green or canary deploys, and automated rollback.
• Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — including autoscaling, ingress, secrets, and policy.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO-driven alerting.
• Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov), and PCI-aware patterns.
• Lead incident response — on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.
• Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self-service.
• Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
• Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.

Conocimientos

DevOps

CI/CD pipelines

Kubernetes

Scripting: Python/Bash/Go

Cloud platforms (AWS/Azure/GCP)

Observability stacks

PCI/compliance

On-call/incident response

Educación

Bachelor's degree

Herramientas

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

Docker

Helm

ArgoCD

Flux

Descripción del empleo

AgileEngine is seeking a Senior DevOps Engineer to design, build, and operate cloud infrastructure and CI/CD pipelines for Data & AI teams in a PCI-compliant environment. You will own IaC with Terraform, Pulumi, or CloudFormation, manage Kubernetes clusters (EKS), and drive observability with Prometheus, Grafana, and OpenTelemetry.

You will collaborate with software engineers, QA, security, and IT across LATAM regions, ensuring automation, security, and reliability while optimizing cloud costs.