Senior Devops Engineer - Ci/Cd, Kubernetes & Automation

Stefanini Latam; Rosario; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime: remote and office options

Job summary

AgileEngine is seeking a skilled DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data & AI teams in a PCI‑compliant environment. The role emphasizes automated deployments, secure infrastructure, and strong collaboration across time zones.

You will own kubernetes-based workloads, implement policy-as-code, and drive reliability initiatives across global teams. Remote-friendly with flexible schedules.

Qualifications

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years building CI/CD pipelines and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
• Working knowledge of Kubernetes and container tooling (Docker, Helm, ArgoCD, Flux).
• Scripting: Python, Bash, or Go; SQL skills; cloud platforms (AWS/Azure/GCP).
• Observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
• Understanding of cloud security and PCI-compliant or regulated environments.

Responsibilities

• Strategy, roadmap and vision for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code for AWS, Azure, or GCP.
• Own CI/CD pipelines — builds, tests, security scans, blue-green/canary deployments.
• Operate Kubernetes clusters and container workloads with ArgoCD/Flux.
• Build observability dashboards and alerts with Prometheus, Grafana, OpenTelemetry, Datadog.
• Implement security controls: IAM, SSO, vaults, vulnerability scanning, policy-as-code.
• Lead incident response and blameless post-mortems; reduce MTTR and toil.
• Collaborate with developers on local dev experience and self-service tooling.
• Contribute to internal platform standards; share knowledge across teams.

Skills

4+ years DevOps / SRE experience

Strong scripting (Python/Bash/Go)

Cloud platforms expertise (AWS/Azure/G

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Kubernetes

Docker

Helm

ArgoCD

Flux

Terraform

Pulumi

CloudFormation

New Relic

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

PCI compliance

OPA/Checkov

tfsec

SBOM

LangSmith / Langfuse

PostgreSQL

MySQL

Snowflake

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.