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# DevOps Engineer (GCP)

AI Summary Particle41 is seeking a GCP-focused DevOps Engineer to automate, operate, and improve customer software delivery and cloud infrastructure. The role covers infrastructure as code, CI/CD pipelines, container platforms, monitoring, incident response, and security controls in Google Cloud. The engineer will collaborate closely with customer development and operations teams while maintaining reliable, scalable systems. Strong hands-on experience with GCP, Terraform, Kubernetes, scripting, configuration management, and production troubleshooting is required. Participation in an on-call rotation and a current or expired GCP 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 (GCP) 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 GCP infrastructure to ensure scalability, reliability, and security.
* Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, 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 Cloud Monitoring and Cloud Logging 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 IAM, Security Command Center, and VPC Service Controls.
* 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 GCP services including Compute Engine, Cloud Run, GKE, Cloud Functions, Cloud Storage, Cloud SQL, and Operations Suite.
* 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: GCP Cloud Engineer Associate, GCP Cloud Architect Professional, GCP Cloud Developer Professional, GCP Cloud DevOps Engineer Professional, GCP Cloud Security Engineer Professional, GCP Cloud Network Engineer Professional

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/161436-devops-engineer-gcp.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 senior-leaning infrastructure role requiring broad practical expertise across GCP, automation, Kubernetes, security, observability, and production support. The on-call component and customer-facing collaboration add operational pressure and require sound independent judgment.

## Salary analysis

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

Estimated job median (per year)Market rate$50,000US market range (per year)$40k–$65k0$71.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The yearly cadence and estimated USD compensation are inferred for a full-time GCP DevOps Engineer working remotely from Mexico; estimated market range is an AI estimate, not verified salary research.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.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)[Cloud Monitoring](https://jobicy.com/jobs?search_keywords=Cloud%20Monitoring.md)[Cloud Logging](https://jobicy.com/jobs?search_keywords=Cloud%20Logging.md)[IAM](https://jobicy.com/jobs?search_keywords=IAM.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)

Sample interview questionsHow would you design a CI/CD pipeline for a containerized service deployed to GKE?I would use Git-triggered pipelines to run linting, unit tests, security scans, and image builds, then publish versioned images to a registry. Deployment would use declarative manifests or Helm, with environment-specific configuration, automated validation, and a staged rollout strategy such as canary or blue-green. I would also include rollback controls, deployment notifications, and monitoring checks after release.

How do you structure Terraform for a multi-environment GCP platform?

I separate reusable modules from environment-specific configurations and keep state isolated by environment, typically in secured remote backends. Variables, service accounts, IAM permissions, and naming conventions are standardized to reduce drift. Pull-request plans, peer review, policy checks, and controlled applies help maintain safe infrastructure changes.

What steps would you take when a production GKE service experiences elevated latency?

I would first assess user impact and inspect dashboards for latency, error rates, resource saturation, and recent deployments. Then I would examine pod health, autoscaling behavior, application logs, network dependencies, and database performance to isolate the bottleneck. After mitigating the issue through rollback, scaling, or configuration changes, I would document the incident and implement preventive monitoring or capacity improvements.

How do you apply least-privilege security practices in GCP?

I use dedicated service accounts for workloads and automation, grant narrowly scoped IAM roles, and avoid shared credentials. I also use secret management, audit logging, network segmentation, VPC Service Controls where appropriate, and periodic access reviews. Infrastructure-as-code and policy validation make permissions auditable and repeatable.

How do you collaborate effectively with software developers during infrastructure changes?

I involve developers early to clarify service requirements, deployment expectations, observability needs, and failure modes. I provide documented self-service patterns for pipelines, environments, and troubleshooting, while using pull requests and shared reviews for changes. Clear incident communication and post-incident learning help strengthen the working relationship and platform reliability.

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