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Softgic

DevOps Engineer – Azure | Terraform | Kubernetes 6916

Softgic · Mexico City, Mexico City, Mexico

IT Services and IT Consulting · 51-200 employees

Yesterday
Senior (5-10 yrs) Full-time Mexico
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About the role

Design, deploy, and manage scalable infrastructure on Microsoft Azure while optimizing CI/CD pipelines and ensuring system reliability. Collaborate with cross-functional teams to implement automation, security controls, and incident response strategies.

What they look for

Microsoft Azure Terraform Kubernetes AKS Infrastructure as Code CI/CD Linux PowerShell Bash Python Azure Monitor Application Insights Networking Cloud Security IAM Disaster Recovery

Requirements

Requires 4–7 years of experience in DevOps or SRE roles with strong hands-on expertise in Azure, Terraform, and Kubernetes. Candidates must possess solid knowledge of Linux, scripting, and cloud infrastructure best practices.

Full description

We are looking for a skilled DevOps Engineer with strong hands-on experience in Microsoft Azure, Terraform, and Kubernetes (AKS) to design, build, and operate secure, scalable, and highly available cloud platforms.

The ideal candidate will play a key role in improving infrastructure automation and reliability, implementing Infrastructure as Code (IaC) practices, optimizing CI/CD pipelines, and ensuring the stability and performance of production environments.

We are looking for a professional with solid experience in production cloud environments, strong troubleshooting skills, and a good understanding of automation, monitoring, networking, and cloud security.

Responsibilities

  • Design, deploy, and manage infrastructure on Microsoft Azure, ensuring scalability, availability, performance, and security.
  • Manage Azure services such as Azure Kubernetes Service (AKS), Virtual Networks, Load Balancers, Storage Accounts, Azure Monitor, and Application Insights.
  • Build, maintain, and optimize Terraform modules for automated infrastructure provisioning.
  • Implement Infrastructure as Code (IaC) best practices and maintain consistency across Development, QA, and Production environments.
  • Operate and support Kubernetes/AKS clusters across production and non-production environments.
  • Manage container deployments, scaling, rolling upgrades, and resiliency strategies.
  • Troubleshoot issues related to clusters, nodes, pods, networking, and cloud infrastructure.
  • Design, implement, and maintain CI/CD pipelines for infrastructure and application deployments.
  • Automate build, testing, deployment, release, and rollback processes.
  • Integrate security controls, infrastructure validation, and quality gates into CI/CD pipelines.
  • Implement monitoring, logging, and alerting solutions to ensure system availability and reliability.
  • Participate in production incident response, Root Cause Analysis (RCA), and continuous improvement initiatives.
  • Support Disaster Recovery (DR), backup, and high-availability strategies.
  • Participate in on-call rotations when required.
  • Collaborate closely with Software Engineering, QA, Security, and Architecture teams.

Requisitos

  • 4–7 years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or similar roles.
  • Strong hands-on experience with Microsoft Azure in production environments.
  • Proven expertise with Terraform for Infrastructure as Code (IaC).
  • Solid hands-on experience with Kubernetes, particularly Azure Kubernetes Service (AKS).
  • Experience designing, implementing, and maintaining CI/CD pipelines.
  • Strong knowledge of Linux systems and administration.
  • Solid understanding of networking, cloud security, and IAM fundamentals.
  • Experience troubleshooting infrastructure and resolving incidents in production environments.
  • Proficiency in scripting and automation using PowerShell, Bash, and/or Python.
  • Experience with monitoring and observability tools, particularly Azure Monitor and Application Insights.
  • Knowledge of high-availability architectures, backup strategies, and Disaster Recovery (DR).
  • Understanding of cloud infrastructure best practices related to security, scalability, performance, and cost optimization.
  • Bachelor’s degree in Computer Science, Systems Engineering, Software Engineering, or a related technical field, or equivalent practical experience.