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.

📌 SRE (Perú)
🏢 Techwarely
📍 Perú