DevOps & Cloud Engineer - Specialized Career Path (Prior Coding or IT Exp. Required)

About the Job

Infinity Labs R&D is seeking highly motivated tech-savvy individuals with prior foundation in either Coding or IT Systems to join an intensive, specialized DevOps and Cloud Engineering career path.

DevOps Engineers are the backbone of modern tech organizations, orchestrating the intersection of software development and infrastructure. Our business model is built on mutual success: we fully fund and invest in your advanced technical training because our growth depends entirely on your successful placement in key engineering roles at leading companies.

Through our fully funded, project-driven environment that simulates real-world R&D teams, you will master advanced automation, cloud architectures, and CI/CD pipelines.

Hands-on Experience You Will Gain:

Infrastructure as Code (IaC) & Cloud Platforms: Advanced architecture environments using cloud vendors, cloud-native tools, and configuration management.

CI/CD & Automation Pipelines: Designing, building, and maintaining automated deployment pipelines, version control workflows, and scripting (Python/Bash).

Containerization & Orchestration: Deploying and managing scalable applications using modern container technologies and platform management tools.

Monitoring & Operations: System-level troubleshooting, log analysis, performance optimization, and site reliability engineering (SRE) practices.

Requirements:

High school matriculation certificate (Full Bagrut).

Prior technical experience/knowledge in AT LEAST ONE of the following areas: Basic Coding/Software Development OR IT/System Administration/Networking.

Strong technological curiosity and high system-level logical thinking.

Service-oriented mindset with the proven ability to multitask and coordinate effectively between multiple stakeholders simultaneously.

High level of English.

No prior professional DevOps experience required.

Participation in the program does not guarantee employment. Any future job offer is conditional upon successful completion of the training program, professional evaluation, and the availability of suitable positions.

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