OPEN: Cloud Infrastructure Engineer

We are currently requesting resumes for the following position: Cloud Infrastructure Engineer

Resume Due Date: November 11, 2026 (5:00PM EST)

Job ID: 26- 108

Number of Vacancies: 1

Level: MP3

Duration: 12 months

Hours of work: 35 hours per week

Location: 1908 Colonel Sam Dr (O11 – CHQ)

Work Mode: 3 days onsite

Hourly Range: $70 – $75

Key Accountabilities

The Associate Cloud Infrastructure Engineer develops, configures, implements, and supports cloud infrastructure and virtualization solutions. The role works within established cloud architecture, security, and governance standards across IaaS, Azure networking, landing zones, disaster recovery, backups, monitoring, FinOps, Infrastructure as Code, and scripting. The position independently delivers defined engineering work while collaborating with senior engineers and architects on complex designs and enterprise-wide changes.

This role on the Cloud Platform team will support multiple IT project intiatives.

Job Duties:

• Cloud Infrastructure Implementation: Develop, configure, deploy, and support secure and scalable cloud infrastructure and virtualization solutions using approved architecture patterns and version-controlled configurations.
• Server Automation: Develop and maintain automated server build and deployment processes using approved automation tools and scripting languages.
• Azure Networking: Configure, maintain, and troubleshoot Azure networking components including ExpressRoute, VPNs, route tables, vNETs, and vNET peering using established designs.
• Landing Zones: Implement and maintain cloud landing zone components in accordance with approved architecture, security, and governance standards.
• Disaster Recovery & Backups: Implement, test, and maintain disaster recovery and backup solutions to support defined business continuity requirements.
• Monitoring & Reliability: Configure monitoring and alerting capabilities, analyze operational information, and implement improvements to infrastructure reliability and performance.
• Cost Optimization & FinOps: Analyze cloud resource utilization and spending and implement approved optimization actions to improve cost efficiency and support FinOps transparency.
• Infrastructure as Code: Develop and maintain reusable Infrastructure as Code configurations using technologies such as Terraform and Packer.
• Scripting & Automation: Develop and maintain scripts using Bash, PowerShell, Go, Python, or comparable languages to automate infrastructure and operational activities.
• Security & Governance: Implement cloud infrastructure in accordance with cybersecurity, privacy, compliance, and governance requirements and remediate identified configuration issues.
• Technical Troubleshooting: Investigate and resolve cloud infrastructure, networking, automation, backup, and monitoring issues, escalating complex architecture matters where required.
• Continuous Improvement: Assess emerging cloud capabilities and identify opportunities to improve infrastructure automation, resilience, scalability, operational efficiency, and cost effectiveness.

Qualifications

Education:

Role requires knowledge of scalable, secure, and resilient cloud infrastructure, virtualization, networking, automation, and operational practices. This knowledge is considered to be normally acquired through the successful completion of a four-year university education in Computer Science, Information Technology, Engineering, or a related field, or by having the equivalent level of education.

Experience:

Role requires progressively responsible experience implementing and supporting cloud infrastructure solutions, including virtualization, IaaS, Azure networking, landing zones, backup and recovery, monitoring, Infrastructure as Code, scripting, and cloud operations.

Experience using technologies such as Terraform, Packer, Ansible, PowerShell, Python, or comparable tools is required.

The role requires the ability to independently complete defined engineering assignments while seeking senior technical guidance for complex architecture and design decisions.

A period of over 4 years and up to and including 6 years is considered necessary to gain this experience.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.