Senior Devops Engineer — Remote Latam (Aws/Eks)

Stefanini LATAM

Rosario

Hybrid

ARS 154,971,000 - 232,457,000

Full time

6 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime with remote & office options

Job summary

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. The role focuses on implementing scalable pipelines, secure cloud platforms, and reliable systems across time zones.

You will work with Kubernetes clusters (EKS/AKS/GKE), Terraform/Pulumi/CloudFormation, and modern CI/CD tools in a collaborative, on‑call capable setup. Experience with Data and AI workloads is a plus.

Qualifications

  • 4+ years in DevOps, SRE, or platform engineering.
  • 3+ years building CI/CD pipelines and infrastructure as code (Terraform, Pulumi, CloudFormation).
  • Working knowledge of Kubernetes (EKS/AKS/GKE) and container tooling (Docker, Helm, ArgoCD, Flux).
  • Strong scripting in Python/Bash/Go; solid SQL; experience with AWS/Azure/GCP.
  • Observability stacks experience (Prometheus/Grafana/OpenTelemetry/ELK/Datadog).
  • Understanding PCI‑compliant or regulated environments and cloud security.
  • Ability to work independently and in teams across time zones; on-call rotations.
  • Strong written and verbal communication with technical and non-technical stakeholders.

Responsibilities

  • Design and implement cloud infrastructure as code (Terraform, Pulumi, CloudFormation).
  • Own and evolve CI/CD pipelines across multiple platforms.
  • Operate Kubernetes clusters (EKS/AKS/GKE) and related workloads.
  • Build observability dashboards and alerting with Prometheus, Grafana, ELK, Datadog.
  • Enforce security and PCI‑aware patterns; manage IAM and secrets.
  • Lead on-call rotations and post-mortems to improve reliability.
  • Collaborate with developers, AI engineers, QA, and DBAs across environments.

Skills

DevOps
CI/CD
Kubernetes
Terraform/Pulumi/CloudFormation
GitHub Actions/Jenkins/GitLab CI/Cirl?

Tools

AWS/Azure/GCP
Docker
Helm
ArgoCD/Flux
Prometheus/Grafana/OpenTelemetry
ELK/Datadog/New Relic

Job description

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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