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# Devops Engineer (Azure)

AI Summary Particle41 is seeking a remote Azure DevOps Engineer based in Mexico to improve software delivery and cloud operations for customer environments. The role centers on Azure infrastructure management, infrastructure as code, CI/CD automation, monitoring, security, and incident support. The engineer will work closely with development and operations stakeholders while maintaining reliable, scalable, and secure systems. Required experience includes Azure services, Terraform or ARM Templates, Docker, Kubernetes, scripting, configuration management, Git, and CI/CD practices. Participation in an on-call rotation and an Azure certification are expected.[Apply for this job](#job-application)[View company](https://jobicy.com/company/particle41.md)ShareRemote from[Mexico](https://jobicy.com/job-region/mexico.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceOpen levelPublished11 Nov 2026Apply before11 Dec 2026Listing views19Application actions0Application toolkit

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Opportunity details

## About this role.

As a DevOps Engineer (Azure) at [Particle41](https://jobicy.com/company/particle41.md), you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers’ infrastructure.

Responsibilities:

Collaboration and Communication:

* Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects.
* Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines.
* Create and maintain comprehensive documentation for systems, processes, and configurations.

Automation and Tooling:

* Design, implement, and manage automation processes for software build, deployment, and configuration.
* Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes.

Infrastructure Management:

* Manage and maintain Azure cloud infrastructure to ensure scalability, reliability, and security.
* Implement infrastructure as code (IaC) using tools such as Terraform, ARM Templates, and others.
* Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases.

Monitoring and Performance:

* Develop and implement monitoring solutions using Azure Monitor, Application Insights, and Log Analytics to ensure the health and performance of systems and applications.
* Proactively identify and address issues related to system performance, reliability, and scalability.

Security and Compliance:

* Implement and maintain security best practices in infrastructure and application deployment including Azure AD, Key Vault, and Network Security Groups.
* Ensure compliance with regulatory requirements and company security policies.

Troubleshooting and Support:

* Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages.
* Participate in on-call rotation to respond to and resolve critical incidents.

Qualifications:

* Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
* Experience with Azure services including App Services, Functions, AKS, Storage, SQL Database, and Monitor.
* Proven experience as a DevOps Engineer or similar role.
* Strong proficiency in scripting languages such as Python, Bash, or Ruby.
* Experience with configuration management tools such as Ansible, Puppet, or Chef.
* In-depth knowledge of containerization technologies, such as Docker and Kubernetes.
* Hands-on experience with version control systems, preferably Git.
* Solid understanding of continuous integration and continuous deployment (CI/CD) concepts and tools.
* Strong problem-solving and troubleshooting skills.
* Excellent communication and collaboration abilities.
* Certified (Current or Expired) in at least one of the following: Azure Administrator Associate, Azure Security Engineer Associate, Azure Network Engineer Associate, Azure Developer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

* E – Empowering: Enabling individuals to reach their full potential.
* L – Leadership: Taking initiative and guiding each other toward success.
* I – Innovation: Embracing creativity and new ideas to stay ahead.
* T – Teamwork: Collaborating with empathy to achieve common goals.
* E – Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission.

Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com

Show more

[Apply now >](https://jobicy.com/jobs/161433-devops-engineer-azure.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a technically demanding cloud infrastructure role that combines platform engineering, automation, security, observability, and production incident response. It requires practical Azure expertise and the ability to independently troubleshoot delivery and reliability issues across customer systems.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive$60,000US market range (per year)$45k–$75k0$82.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The displayed figures are AI-estimated annual USD base-pay benchmarks for a mid-level Azure DevOps Engineer working remotely from Mexico; they are not employer-confirmed compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[ARM Templates](https://jobicy.com/jobs?search_keywords=ARM%20Templates.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Bash](https://jobicy.com/jobs?search_keywords=Bash.md)[Ansible](https://jobicy.com/jobs?search_keywords=Ansible.md)[Azure Monitor](https://jobicy.com/jobs?search_keywords=Azure%20Monitor.md)[Application Insights](https://jobicy.com/jobs?search_keywords=Application%20Insights.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Azure Security](https://jobicy.com/jobs?search_keywords=Azure%20Security.md)

Sample interview questionsHow would you design a CI/CD pipeline for an application deployed to Azure Kubernetes Service?I would use Git-based triggers, run automated linting, unit tests, security scans, and container image builds, then publish versioned images to a secure registry. The deployment stage would use Helm or manifests with environment-specific configuration, approvals for production, health checks, and a rollback strategy such as blue-green or canary deployment.

How have you used Terraform to manage Azure infrastructure safely?

I organize reusable modules, keep state in a secured remote backend, use separate workspaces or state files by environment, and require plan reviews before apply. I also use variables, tagging standards, least-privilege service principals, and policy checks to make changes consistent and auditable.

What metrics and alerts would you configure for a critical Azure-hosted application?

I would monitor availability, latency, error rates, CPU and memory utilization, request volume, dependency failures, pod health, and database performance. I would use Azure Monitor, Application Insights, and Log Analytics to create actionable alerts with meaningful thresholds, escalation paths, and dashboards for incident diagnosis.

How would you investigate a production deployment that is failing after release?

I would first assess impact and stop or roll back the release if customer availability is at risk. Then I would inspect pipeline output, deployment events, application logs, configuration differences, secrets access, image versions, and health probes to isolate the cause, document the resolution, and add preventive checks to the pipeline.

How do you apply security best practices in Azure DevOps workflows?

I use managed identities or least-privilege service principals, store secrets in Azure Key Vault, enforce network controls, scan code and container images, and protect branches and deployment approvals. I also ensure audit logging, patching, role-based access control, and infrastructure policy validation are integrated into the delivery process.

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