SRE

Site Reliability Engineer

Remote Argentina, Costa Rica, Peru, Brazil, Colombia

Stack

Azure DevOps Jenkins GitLab CI Kubernetes Docker Terraform ARM templates Ansible Puppet Microsoft Azure IIS Windows Server PowerShell Prometheus Grafana Azure Monitor ELK stack Splunk OAuth 2.0 Docker Kubernetes

Summary

We are seeking a Senior DevOps / SRE Engineer to design, deploy, and optimize our scalable, multi-tenant Azure platform and its GitOps automation pipelines. In this role, you will drive infrastructure-as-code initiatives on HCP Terraform, operate AKS-based Kubernetes workloads, optimize Azure cost and reliability, and pioneer the integration of generative AI tools (Claude Code and GitHub Copilot) into our engineering workflows.

Key Responsibilities

• Cloud & Infrastructure Management: Design, provision, and maintain secure, scalable Azure infrastructure using Infrastructure as Code (Terraform via HCP Terraform Cloud). Operate a multi-tenant internal developer platform (Purple Platform) and manage containerized workloads on Azure Kubernetes Service (AKS).
• GitOps & Deployment Automation: Build and maintain declarative deployments with Kustomize and Flux, managing AppDeployment CRDs, mesh egress, and gateway configuration across dev/stg/prd zones.
• CI/CD & Pipeline Automation: Build, maintain, and optimize CI/CD pipelines using GitHub Actions and Azure DevOps to drive build and deployment efficiency.
• API Gateway & Service Mesh: Configure and operate Kong gateways (OIDC, OAS validation, plugins) and service-mesh traffic permissions (MeshTrafficPermissions / Kyverno-generated MTP).
• Architecture Modernization: Collaborate with engineering teams to transition legacy (Classic) systems into event-driven microservices using Azure Service Bus and Event Hub.
• AI-Assisted DevOps Engineering: Leverage Claude Code and GitHub Copilot to accelerate shell/PowerShell scripting, generate Terraform modules, draft pipeline and Kustomize configs, diagnose deployment logs, and automate routine operational tasks.
• Cost & Performance Optimization: Audit Azure environments to reduce operational cost, right-size AKS node pools and databases (SQL Server, MongoDB Atlas, Oracle), and meet reliability/uptime targets.
• Monitoring & Observability: Implement logging, tracing, metrics, and alerting with OpenTelemetry, Serilog, Azure Monitor, and Dynatrace to maintain high platform availability.

Required Technical Experience

• Cloud Platform: Deep expertise in Microsoft Azure: AKS, Entra ID (Azure AD OIDC), Azure Key Vault (External Secrets), Service Bus, Event Hub, Azure Storage, and Azure Monitor. (AWS experience a plus.)
• Infrastructure as Code: Advanced proficiency with Terraform and HCP Terraform Cloud; policy-as-code with OPA/Rego and CUE schema validation.
• Containers & Orchestration: Solid hands-on experience with Docker, Kubernetes (AKS), Kustomize, and Flux (GitOps).
• API Gateway / Mesh: Practical experience with Kong and Kubernetes service-mesh traffic policy.
• CI/CD & Automation: Strong expertise with GitHub Actions, Azure DevOps, Git, and Renovate-driven dependency automation.
• Software Development Background: Solid foundation in C# /.NET Core, Node.js / TypeScript (NestJS, React), and Python for tooling/automation.
• Databases: Practical experience configuring and optimizing MS SQL Server, MongoDB Atlas, and Oracle; PostgreSQL a plus.
• AI & Automation Requirements | Generative AI Workflow Integration: Active hands-on experience using AI coding assistants (Claude Code, GitHub Copilot) within SRE/DevOps routines.
• Use Cases: Generating Terraform modules and Kustomize overlays, drafting GitHub Actions/Azure DevOps pipeline config, diagnosing AKS/Flux/Kong deployment logs, authoring reusable agent skills, and automating routine platform operations.

Qualifications

• 8+ years in Software Engineering, DevOps, or Site Reliability Engineering.
• Bachelor's degree in Information Systems, Computer Science, or related field (or equivalent practical experience).
• Proven track record of reducing infrastructure cost and improving pipeline build speed.
• Strong understanding of microservices design patterns, Event-Driven Architecture, and multi-tenant SaaS / internal developer platform architectures.