Senior DevOps & Platform Engineer - Cloud & Observability

Bluelightconsulting

Rosario

A distancia

ARS 169.994.000 - 262.719.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD-based compensation
Exciting projects
Flextime

Descripción de la vacante

AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.

You will design and operate scalable infrastructure across AWS/Azure/GCP, implement security controls, manage Kubernetes clusters, and lead incident response. Strong scripting and collaboration with cross‑functional teams are essential for success in a fast-paced, distributed setting.

Formación

  • 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
  • 3+ years of hands-on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) 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.
  • AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.

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
SRE
CI/CD
Kubernetes
Python/Bash/Go
Cloud platforms
Observability
PCI compliance
Communication
English
Cloud certifications

Herramientas

GitHub Actions
Jenkins
GitLab CI
CircleCI
Terraform
Pulumi
CloudFormation
Docker
Helm
ArgoCD
Flux

Descripción del empleo

AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.

You will design and operate scalable infrastructure across AWS/Azure/GCP, implement security controls, manage Kubernetes clusters, and lead incident response. Strong scripting and collaboration with cross‑functional teams are essential for success in a fast-paced, distributed setting.

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