Remote Senior Devops Engineer: Cloud & Kubernetes

Kake; Ciudad de Mendoza; Remote; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

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. You will own infrastructure and pipelines across AWS, Azure, or GCP, enabling reliable, scalable software delivery.

The role requires 4+ years in DevOps/SRE, hands-on CI/CD (GitHub Actions, Jenkins, GitLab CI), Kubernetes (EKS/AKS/GKE), IaC (Terraform, Pulumi, or CloudFormation), and strong scripting.

Qualifications

• 4+ years of DevOps, SRE, or platform engineering for production services.
• 3+ years building CI/CD pipelines and IaC with Terraform/Pulumi/CloudFormation.
• Hands-on Kubernetes experience (EKS/AKS/GKE) and container tooling (Docker/Helm/ArgoCD/Flux).
• Strong scripting in Python/Bash/Go; proficient in at least one cloud (AWS/Azure/GCP).
• Observability stack experience: Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Knowledge of cloud security in PCI-compliant environments and basic security practices.
• Excellent written/spoken communication with technical and non-technical stakeholders.

Responsibilities

• Define DevOps roadmap for Data & AI observability.
• Build cloud infrastructure as code for AWS, Azure, or GCP.
• Own CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI.
• Operate Kubernetes clusters (EKS/AKS/GKE) with Helm/ArgoCD/Flux.
• Develop observability with Prometheus, Grafana, OpenTelemetry, Datadog.
• Implement security and PCI-aware controls.
• Lead incident response and blameless post-morts.
• Collaborate with developers for dev experience and self-service.
• Contribute to platform standards across India and US teams.
• Work with developers, AI engineers, QA, DBAs, product partners.

Skills

DevOps

SRE

CI/CD

Cloud platforms

On-call support

Communication

Tools

Kubernetes

Docker

Helm

ArgoCD

Flux

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

GHCR

Prometheus

Grafana

OpenTelemetry

Datadog

Kustomize

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.

The Role: We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.

In this role, you will own cloud infrastructure, deployment automation, and system reliability , with a strong focus on cloud‑agnostic portability, Kubernetes administration, Infrastructure as Code, and automated CI/CD workflows.

We are looking for someone with strong hands‑on experience in Kubernetes, Terraform, GitHub Actions, multi‑cloud environments, and IAM solutions such as Keycloak .

Responsibilities:

Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes , initially using Google Kubernetes Engine (GKE) , with Helm and Kustomize .

Infrastructure as Code: Build modular and cloud‑agnostic infrastructure using Terraform , enabling consistent deployments across GCP, other public clouds, and on‑premise environments .

CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.

Manage container images and deployment workflows using GitHub Container Registry (GHCR) .

IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.

Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.

Implement and maintain secure secrets management practices.

Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux .

Contribute to the reliability, scalability, security, and portability of the overall cloud platform.

Requirements:

Advanced hands‑on experience managing production Kubernetes environments , including container networking.

Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.

Deep experience designing and maintaining deployment pipelines using GitHub Actions .

Experience working with GitHub Container Registry (GHCR) .

Experience deploying and maintaining production Keycloak/IAM environments .

Strong understanding of OIDC, identity management, authentication, and authorization concepts .

Experience with secrets management and cloud security best practices.

Experience working with GCP/GKE and an understanding of multi‑cloud or cloud‑agnostic infrastructure approaches.

Strong understanding of containerized environments, deployment automation, and system reliability

Core Tech Stack

Kubernetes (GKE) | Terraform | Helm | Kustomize | GitHub Actions | GHCR | GCP | Multi‑Cloud | Keycloak | OIDC | IaC | ArgoCD / Flux

• Location: LATAM
• Work Model: 100% Remote
• Project: Identity Security / Cybersecurity