OPEN: Cloud App/Dev Engineer
We are currently requesting resumes for the following position: Cloud App/Dev Engineer
Resume Due Date: November 11, 2026 (5:00PM EST)
Job ID: 26-107
Number of Vacancies: 2
Level: MP3
Duration: 12 months
Hours of work: 35 hours per week.
Work Mode: 3 days on site.
Location: CHQ, 1908 Colonel Sam Dr (O11)
Hourly Range: $70 – $75
Key Accountabilities
The Associate Cloud App-Dev Engineer develops, configures, implements, and supports cloud-native applications, PaaS services, and automated infrastructure solutions using modern cloud and DevOps technologies. The role works within established cloud architecture, security, and engineering standards to deliver reliable cloud environments using Kubernetes, containerization, Infrastructure as Code, CI/CD, GitOps, and infrastructure programming. The position independently delivers defined technical work while collaborating with senior engineers and architects on more complex solution designs.
This role on the cloud platform teams will support various IT project initiatives.
Job Duties:
- Cloud-Native Infrastructure: Develop, configure, deploy, and support cloud-native infrastructure using Kubernetes and established container orchestration patterns.
- PaaS Management: Develop, configure, and maintain PaaS components including compute, database, storage, and integration services.
- Software Defined Networking: Implement and support software-defined networking and service mesh technologies using established designs and standards.
- Infrastructure as Code: Develop and maintain Infrastructure as Code modules using technologies such as Terraform and Pulumi.
- Automation & DevOps: Develop and maintain automated infrastructure provisioning, configuration, and deployment processes using Azure DevOps, GitHub, and related DevOps technologies.
- Secure Automation: Implement established security controls for automation, including secrets management, RBAC, encrypted communications, and secure configuration practices.
- Cloud Solution Implementation: Implement scalable, available, and resilient cloud solutions using approved Azure architecture patterns and technical standards.
- GitOps: Apply GitOps principles and maintain deployment and configuration processes using technologies such as Flux and ArgoCD.
- Programming & Scripting: Develop and maintain infrastructure automation using programming and scripting languages such as .NET, Node.js, Java, Bash, PowerShell, Go, or Python.
- Requirements Analysis: Work with technical and business teams to analyze infrastructure requirements and translate them into defined technical configurations and engineering tasks.
- Performance & Reliability: Monitor cloud infrastructure and identify opportunities to improve performance, scalability, reliability, and operational efficiency.
- Security & Compliance: Implement cloud infrastructure in accordance with established cybersecurity, privacy, governance, and technical standards.
- Technical Troubleshooting: Investigate and resolve cloud infrastructure, deployment, automation, and application platform issues, escalating complex issues where required.
- Technology Assessment: Maintain knowledge of emerging cloud and DevOps technologies and contribute technical input to evaluations and proofs of concept.
Qualifications
Education:
Role requires knowledge of cloud-native application development, PaaS technologies, containerization, Infrastructure as Code, DevOps practices, programming, and cloud infrastructure engineering. This knowledge is considered to be normally acquired through the successful completion of a four-year university education in Computer Science, Engineering, Information Technology, or a related field, or by having the equivalent level of education.
Experience:
Role requires progressively responsible experience developing, implementing, and supporting cloud infrastructure and cloud-native solutions.
Experience should include PaaS services, container technologies, Infrastructure as Code, DevOps pipelines, programming or scripting, and cloud platform operations.
Experience working with Kubernetes, Azure cloud services, Terraform or similar IaC technologies, Git-based development practices, CI/CD pipelines, and secure cloud engineering practices 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.