DevOps Engineer ID95927

AgileEngine, LLC.

Rosario

Hybrid

ARS 181,747,000 - 272,620,000

Full time

4 days ago
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Benefits offered by this job

Professional growth
Competitive compensation (USD)
Exciting projects
Flextime

Job summary

AgileEngine, LLC. Rosario, Argentina is seeking a DevOps Engineer to build and run PCI-compliant cloud infrastructure, CI/CD, and observability for Data & AI teams. The role requires hands-on experience across Kubernetes, IaC, and security.

You’ll collaborate with cross-functional teams across time zones and contribute to platform reliability. The ideal candidate has 4+ years in DevOps/SRE, strong scripting, and experience with cloud providers, observability stacks, and incident response.

Qualifications

  • 4+ years of DevOps/SRE/platform-engineering experience operating production services.
  • 3+ years building CI/CD pipelines and managing infrastructure as code.
  • Kubernetes experience (EKS/AKS/GKE) and container tooling (Docker/Helm/ArgoCD/Flux).
  • Strong scripting in Python, Bash, or Go; solid SQL; experience with AWS/Azure/GCP.
  • Observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
  • Cloud security and PCI-compliant environments understanding.
  • Ability to work independently and with cross-functional teams; on-call readiness.
  • Excellent written and verbal communication with technical and non-technical stakeholders.

Responsibilities

  • Strategy, roadmap, and vision for DevOps and observability in Data & AI teams.
  • Design and build cloud infrastructure as code with Terraform / Pulumi / CloudFormation.
  • Own CI/CD pipelines — build, test, security scans, blue-green/canary deploys, rollback.
  • Operate Kubernetes clusters and containers with Helm/ArgoCD/Flux, including autoscaling and secrets.
  • Build observability: Prometheus, Grafana, OpenTelemetry, ELK, Datadog; set SLO-driven alerts.
  • Implement security and compliance controls: IAM, SSO, secrets management, vulnerability scanning.
  • Lead incident response — on-call, runbooks, blameless post-mortems, reliability improvements.
  • Collaborate with developers on local dev experience and internal platform tooling.
  • Shape internal platform standards as the stack evolves; participate in design reviews.
  • Work with teams across environments and time zones, including data and AI partners.

Skills

DevOps experience
CI/CD pipelines
Kubernetes
Scripting: Python/Bash/Go
SQL skills
Cloud platforms
Observability stacks
PCI compliance
On-call rotations
Communication

Tools

GitHub Actions
Jenkins
GitLab CI
CircleCI
Terraform
Pulumi
CloudFormation
Docker
Helm
ArgoCD
Flux
Prometheus
Grafana
OpenTelemetry
ELK
Datadog
New Relic

Job description

ROSARIO, Argentina | Posted on 10/19/2026

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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