Remote Gcp Devops Engineer | Ai-Driven Production

Fullstack

Ciudad de Mendoza

Híbrido

ARS 185.448.000 - 231.811.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD pay
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. This role requires hands-on work across Terraform/Pulumi, GitHub Actions, Kubernetes, and security best practices.

You will collaborate with engineers across regions, ensure reliable deployments, and contribute to a best‑in‑class platform with modern tooling and remote/office flexibility.

Formación

  • 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
  • 3+ years building CI/CD pipelines and managing infrastructure as code.
  • Kubernetes experience and container tooling expertise.
  • Strong scripting in Python/Bash/Go with one cloud platform (AWS/Azure/GCP).
  • Observability stacks experience and PCI-compliant or regulated environments.

Responsabilidades

  • Build and own DevOps roadmaps and observability for Data & AI teams.
  • Design cloud infrastructure as code using Terraform or Pulumi.
  • Own CI/CD pipelines and automated deployments with rollback.
  • Operate Kubernetes clusters and related tooling (ArgoCD/Flux).
  • Implement observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
  • Improve security/compliance controls and incident response.
  • Collaborate with developers to improve dev experience and self-service.
  • Support platform standards across teams in different regions.

Conocimientos

DevOps experience
CI/CD pipelines
Kubernetes
Python/Bash/Go
Cloud platforms (AWS/GCP/Azure)

Herramientas

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

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment.

MUST HAVES
  • 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.
NICE TO HAVES
  • Experience operating Dataiku DSS, Snowflake, or other large‑scale data and analytics platforms in production.
  • Experience with service meshes (Istio, Linkerd), API gateways, and zero‑trust networking.
  • Experience with policy‑as‑code (OPA / Rego, Checkov, tfsec) and supply‑chain security (SBOM, Sigstore).
  • Experience with FinOps practices and cloud cost optimization.
  • Experience supporting ML or LLM workloads — GPU scheduling, model‑serving infrastructure, vector databases, or LangSmith / Langfuse.
  • Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
  • Experience in loyalty, martech, adtech, or a comparable data‑rich B2B domain.
WHAT YOU WILL DO
  • 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.
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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