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Cloud Operations Engineer

AI Summary
Varicent is seeking a Cloud Operations Engineer I to operate, maintain, and improve production SaaS infrastructure. The role focuses on cloud reliability, monitoring, automation, deployments, incident troubleshooting, and capacity planning across distributed environments. The engineer will work with development, architecture, and QA teams while supporting CI/CD pipelines, containers, databases, and cloud services. Candidates need 2–4 years of DevOps experience and practical knowledge of Linux, Windows Server, AWS or other cloud platforms, Kubernetes, Docker, scripting, and CloudWatch. The position includes an on-call rotation and increasing independent ownership during the first 90 days.
Remote from
Mexico
Salary
MXN 450,900–591,700 / yr
Employment
Full Time
Experience
Senior
Published
Apply before
4 Dec 2026
Listing views
28
Application actions
1
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Opportunity details

About this role.

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody’s, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

  • Innovate with Purpose: Build impactful solutions for customers worldwide.
  • Join Excellence: Work in a diverse, collaborative, and innovative team.
  • Shape the Future: Lead in redefining revenue optimization.
  • Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Primary Purpose

The Cloud Operations Engineer I ensures that services run smoothly, are highly available, and are cost-effective, while monitoring and resolving production problems with zero or minimal impact to the business. The role sits within a high-performing team in a growth-stage technology company that continuously reflects on and improves software development. The Cloud Operations Team values high technical competency and the ability to react quickly to develop solutions for a rapidly growing team.

KEY RESPONSIBILITIES

  • Follow standard procedures to handle and resolve requests for the Cloud Operations team.
  • Support, optimize, and improve production environments as part of a squad of cloud engineers.
  • Carry out proactive maintenance of supported customer environments.
  • Manage application infrastructures across several geographically dispersed data centers.
  • Work with application teams to automate application setup, deployment, and configuration.
  • Provide technical solutions to automate processes or functions to improve business operations.
  • Continually monitor and tune application infrastructure to ensure optimal performance, availability, and utilization of resources.
  • Engineer and deploy releases, enhancements, and upgrades or new applications throughout non-production and production environments.
  • Ensure internal tooling, processes, and procedures are regularly maintained, and provide input into improvement plans and roadmaps.
  • Provide input on scalability, capacity planning, and high availability concerns.
  • Work with Architecture, Development, and Quality Assurance teams to contribute to the technical planning of upcoming features in the next release.
  • Act as the subject matter expert for new features built or enhancements implemented, and propagate that knowledge throughout the team.
  • Lead technical discussions and design for new projects.
  • Proactively identify opportunities for process change within the team, and work with stakeholders to improve operations workflows.

This role requires to attend on-call rotation.

KNOWLEDGE, SKILLS & EXPERIENCE

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 2 – 4 years of professional experience in a DevOps role.
  • Previous experience working on a client-facing product or service in production.
  • Architecture & Cloud Infrastructure:
  • Exposure to modern SaaS application architecture.
  • Knowledge of IaaS and cloud platforms such as IBM Cloud, AWS, Azure, and Google Cloud Platform.

Programming & Automation:

  • – Experience in automation and software development with proficiency in languages such as Java, Python, Ruby, C/C++, or PL/SQL.
  • Scripting capability in PowerShell, BASH, or Python.
  • Knowledge of configuration management and automation tools such as Chef, Puppet, Ansible, and AWS CloudFormation.
  • Systems & Networking:
  • Strong technical knowledge of operating system administration for Windows Server and Linux (RedHat/CentOS, Ubuntu).
  • Good knowledge of networking principles, with experience in firewalls, load balancers, hardware configurations, and database servers.

CI/CD & Containers:

  • Experience implementing, delivering, and troubleshooting CI/CD build pipelines (Jenkins, Git, GitHub, and AWS integration).
  • Experience in container technology and microservices, including container application implementation and troubleshooting with Docker (Engine, Images) and management utilities (Kubernetes).

Databases & Monitoring:

  • Experience in SQL and PostgreSQL server administration (backup/recovery) and T-SQL scripting.
  • Strong knowledge of monitoring and log management tools (CloudWatch).
  • Soft Skills & Core Competencies:
  • Strong troubleshooting and communication skills.
  • Demonstrated ability to learn new technologies and frameworks.

FIRST 30 DAYS: GETTING STARTED

  • Learn the Cloud Operations environment, infrastructure, tools, and support procedures.
  • Familiarize yourself with deployment workflows, monitoring tools, and automation practices.
  • Shadow team members during troubleshooting, maintenance, and production support.

FIRST 60 DAYS: BUILDING MOMENTUM

  • Handle routine support requests, troubleshooting, and infrastructure maintenance.
  • Support deployments, upgrades, and automation initiatives.
  • Monitor system performance and collaborate with Development, Architecture, and QA teams.

FIRST 90 DAYS: HITTING YOUR STRIDE

  • Independently manage assigned Cloud Operations tasks and resolve technical issues.
  • Improve automation, monitoring, deployments, and operational processes.
  • Contribute to infrastructure scalability, reliability, and performance improvements.

For this role, the estimated annual base salary range is between $450,900.00 – $591,700.00 MXN. In addition to base salary, our compensation package may include bonuses, commissions for eligible sales roles, and a comprehensive benefits package. The actual base salary will vary based on factors including individual qualifications and market data, as objectively assessed during the interview process.

This posting is for a existing vacancy.

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement — not replace — human decision-making.

Overview of Benefits:

  • Health & Wellness— Comprehensive medical, dental, and vision coverage tailored to your local needs
  • Time Off— PTO and public holidays to rest, recharge, and do what matters most
  • Volunteer Days— Dedicated time to give back and support the communities that matter to you
  • Ignite Days— Dedicated learning days to support continuous growth, skill development, and professional learning
  • Financial— Compensation that reflects your market and your value
  • Retirement— Retirement plans designed to help you build long-term financial security
  • Tuition Assistance— Invest in your growth with support for continuing education and professional development
  • Flexibility— Work where you thrive, with remote and hybrid options available across most regions

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

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

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightРоль требует широкого практического DevOps-стека и ответственности за доступность production-сред. Сложность повышают on-call дежурства, диагностика инцидентов и работа с распределённой инфраструктурой.

Salary analysis

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

Estimated job median (per year)Market rate
MXN521,300
MXN market range (per year)MXN450k–MXN700k
AI insightРаботодатель прямо указывает годовой диапазон базовой зарплаты 450 900–591 700 MXN; медиана составляет 521 300 MXN в год. Оценочный рыночный диапазон для Cloud Operations Engineer уровня I в Мексике составляет 450 000–700 000 MXN в год и является AI-оценкой, а не подтверждённым исследованием рынка.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you investigate a production service that is responding slowly after a deployment?

I would first confirm the scope and customer impact through dashboards, alerts, and recent deployment records. I would compare application, infrastructure, database, and network metrics before and after the release, inspect relevant logs, and determine whether rollback or mitigation is needed. After stabilizing the service, I would document the root cause and implement monitoring or deployment safeguards.

Describe how you would automate a repeatable application deployment process.

I would define the required infrastructure and configuration as code, store it in version control, and build a CI/CD pipeline with validation, testing, approval controls where needed, and deployment stages. I would use idempotent automation tools such as Ansible or CloudFormation and include rollback procedures. Monitoring and post-deployment checks would verify that the release is healthy.

What practices help maintain high availability in a SaaS production environment?

Key practices include eliminating single points of failure, using load balancing and redundant components, monitoring service health, testing backup and recovery processes, and planning capacity before demand exceeds limits. I would also use clear incident runbooks, controlled releases, and regular reviews of reliability risks.

How do Docker and Kubernetes support operations for microservices?

Docker packages applications and their dependencies consistently, reducing environment differences between development and production. Kubernetes manages scheduling, scaling, service discovery, health checks, and recovery for containerized workloads. Together they make deployments more repeatable and improve operational visibility, though they require strong monitoring and configuration discipline.

How would you prioritize work when an on-call alert occurs alongside planned maintenance tasks?

I would prioritize based on customer impact, service severity, and risk to availability. A production incident affecting customers takes precedence over planned work, while low-severity alerts should be validated to avoid unnecessary disruption. I would communicate status early, delegate where possible, and reschedule maintenance through the appropriate change process once the environment is stable.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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