10 publicaciones de empleo destacadas en artificial intelligence engineer (¡Están contratando!)

Senior Cloud Infrastructure Engineer, Talent Pipeline (Remote LATAM)
Atmosera —Desde casa
- Por contrato
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Senior Cloud Infrastructure Engineer, Talent Pipeline (Remote LATAM)

Atmosera -
Desde casa

Postulación rápida

Detalles del empleo

Por contrato

Descripción completa del empleo

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

PLEASE NOTE THAT WE ARE NOT ACTIVELY SENIOR CLOUD INFRAESTRUCTURE ENGINEERS AT THIS TIME. WE ARE PIPELINING TALENT IN ANTICIPATION OF ADDITIONAL HIRING NEEDS IN THE FUTURE. PLEASE EXCUSE ANY DELAYS IN RESPONSE IN THE MEANTIME.

Atmosera is hiring a Senior Cloud Engineer to join our Infrastructure team that's responsible for the deployment of Azure cloud environments. The Senior Cloud Engineer plays a hands-on role in building, supporting, and optimizing Microsoft Azure environments that power reliable and secure cloud solutions.

This individual will support Azure infrastructure deployments using Infrastructure as Code, contribute to CI/CD workflows, and help troubleshoot performance, availability, and connectivity issues across development and production environments. The position emphasizes strong foundations in Azure networking, governance, and the Azure Well-Architected Framework, with opportunities to participate in design reviews and continuous improvement initiatives. Success in this role requires curiosity, attention to detail, and a willingness to learn modern cloud engineering practices. The Senior Cloud Engineer will gain exposure to real-world cloud architectures while building the skills needed for long-term growth within a cloud-focused organization.

Key Responsibilities

Azure Cloud Engineering

Implement and manage Azure infrastructure using core Azure services (compute, storage, networking, identity).

Support Azure resource deployment following established architecture standards and best practices.

Assist with environment builds across development, test, and production subscriptions.

Monitor Azure resources and assist with troubleshooting performance, availability, and configuration issues.

Infrastructure as Code (IaC)

Author and maintain Infrastructure as Code using Bicep and Terraform under guidance from senior engineers.

Deploy Azure resources via CI/CD pipelines and automated workflows.

Participate in code reviews to ensure IaC follows organizational standards and Azure best practices.

Help modularize and reuse infrastructure components where appropriate.

Azure Well-Architected Framework

Apply Azure Well‑Architected Framework principles across:

- Reliability

- Security

- Cost Optimization

- Operational Excellence

- Performance Efficiency

Assist with Well‑Architected reviews and remediation tasks.

Collaborate on implementing governance, tagging, and policy standards.

Networking & Topology

Support Azure networking implementations, including:

- Virtual Networks (VNets)

- Subnets and IP addressing

- Network Security Groups (NSGs)

- User Defined Routes (UDRs)

Assist with hub‑and‑spoke and other common Azure network topologies.

Help troubleshoot connectivity issues involving VPNs, private endpoints, and service endpoints.

Understand and apply basic network security and segmentation concepts.

Collaboration & Documentation

Work closely with senior cloud engineers, DevOps, and security teams.

Document infrastructure designs, deployment steps, and operational procedures.

Participate in incident resolution, root cause analysis, and continuous improvement initiatives.

Communicate status, risks, and blockers clearly within the team.

Required Skills & Experience

Technical Skills

Minimum 8 years' of hands‑on experience with Microsoft Azure (IaaS and foundational PaaS services).

Working knowledge of Infrastructure as Code, specifically:

- Bicep

- Terraform

Understanding of Azure Well‑Architected Framework concepts.

Foundational knowledge of cloud networking, including:

- VNets, subnets, routing

- NSGs and firewall concepts

Experience with Git-based workflows (GitHub or Azure DevOps).

Core Competencies

Strong troubleshooting and problem‑solving skills.

Ability to follow architecture guidance and engineering standards.

Willingness to learn and grow in a fast‑paced cloud environment.

Clear written and verbal communication skills.

Team‑oriented mindset with a focus on reliability and operational excellence.
Bilingual business level proficiency in English and Spanish

Preferred Skills & Experience

HIGHLY Preferred - Microsoft Certified: Azure Network Engineer (AZ-700) OR Azure Solutions Architect (AZ-305) or equivalent.

Exposure to CI/CD pipelines (GitHub Actions or Azure DevOps).

Basic scripting experience (PowerShell, Bash, or Python).

Familiarity with Azure governance concepts such as management groups, RBAC, and policies.

Awareness of security best practices in cloud environments.

This is a contractor position with the ability to work from home but may require travel to a client site.

Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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