Remote DevOps Engineer - Cloud, Kubernetes & CI/CD

Spacedev Uy; Buenos Aires; Ibrido; ARS 216.357.000 - 309.081.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine is seeking a DevOps Engineer to design, implement, and operate cloud infrastructure, CI/CD pipelines, and observability for Data and AI teams in a PCI-compliant environment. You will manage Kubernetes clusters, deploy infrastructure as code, and ensure secure, scalable operations across multiple time zones.

You will collaborate with developers and AI engineers, lead incident response, and advance internal platform standards while working in a hybrid setup with flexible remote and

Competenze

• 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.
• Upper-intermediate English level.

Mansioni

• 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.

Conoscenze

SRE / DevOps experience

CI/CD pipelines

Scripting: Python, Bash, Go

Cloud platforms (AWS, Azure, GCP)

Observability stacks

Kubernetes administration

PCI security/compliance basics

Strong communication

Strumenti

Terraform

Pulumi

CloudFormation

Docker

Kubernetes tooling (ArgoCD, Helm, Flux)

GitHub Actions

Jenkins

GitLab CI

CircleCI

Descrizione del lavoro

AgileEngine is seeking a DevOps Engineer to design, implement, and operate cloud infrastructure, CI/CD pipelines, and observability for Data and AI teams in a PCI-compliant environment. You will manage Kubernetes clusters, deploy infrastructure as code, and ensure secure, scalable operations across multiple time zones.

You will collaborate with developers and AI engineers, lead incident response, and advance internal platform standards while working in a hybrid setup with flexible remote and