DataQueue is the largest and fastest-growing Voice AI company in the MENA region, deploying AI voice agents across banks, telecoms, and governments — and scaling rapidly. VoiceHub, our platform, enables businesses to design, test, and deploy AI voice agents at scale, combining LLMs with a full voice stack including TTS, STT, copilots, speech analytics, and real-time workflows across 25+ languages. Join our DevOps team for a hands‑on learning experience in cloud infrastructure and platform engineering. You'll work alongside experienced engineers to learn industry-standard tools and practices while contributing to real production systems. Duration: 6 months (with potential for full-time conversion) What You'll Learn
Cloud platform fundamentals, best practices, and multi-environment deployment strategies Container orchestration with Kubernetes and microservices architecture Infrastructure-as-Code principles and hands‑on experience with IaC tooling CI/CD pipeline design, implementation, and GitOps workflows Scripting and automation development for operational efficiency Observability tools, metrics collection, visualization, and alerting systems Production troubleshooting methodologies and incident response procedures Cloud security fundamentals, identity and access management, and certificate management Network architecture, configuration, and secrets management best practices Internship Responsibilities
Assist in deploying and managing containerized services and maintaining infrastructure-as-code configurations Develop automation scripts for operational tasks and contribute to CI/CD pipeline enhancements Create monitoring dashboards, visualizations, and build tools to improve team productivity Support data infrastructure operations, maintenance, and document procedures in runbooks Participate in code reviews, technical discussions, and complete structured learning paths Shadow senior engineers in operational activities and incident response procedures Assist in troubleshooting, root cause analysis, and production issue resolution Work cross-functionally with development and operations teams on deployment requirements Participate in agile ceremonies, sprint planning, and share knowledge across the team Required Qualifications
Currently pursuing or recently completed a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field, OR completion of relevant technical bootcamp/certification program Solid understanding of Linux/Unix operating systems and command-line interfaces Programming or scripting experience in at least one language (Python, Bash, Go, JavaScript) Familiarity with fundamental networking concepts (TCP/IP, DNS, HTTP/HTTPS) Basic knowledge of version control systems (Git) and understanding of basic computing concepts Strong desire to learn and grow in DevOps/platform engineering with an analytical, problem‑solving mindset Effective written and verbal communication skills with ability to work collaboratively Self‑motivated with attention to detail and comfortable with ambiguity and continuous learning Nice to Have (Not Required)
Personal or academic projects involving containers or cloud technologies Contributions to open‑source projects or technical communities Experimentation with cloud platforms (AWS, GCP, Azure) Understanding of databases and data persistence Exposure to infrastructure-as-code or configuration management Relevant online courses or certifications (Coursera, Udemy, etc.) Interest in cloud-native technologies and distributed systems Technology Stack You'll Work With
Cloud & Infrastructure: Cloud platforms, Kubernetes, Infrastructure-as-Code tools, Helm CI/CD & Development: Git, Docker, automated pipelines, container registries Monitoring & Logging: Metrics collection, visualization platforms, log aggregation Data Infrastructure: Relational and NoSQL databases, caching solutions Job Type: Full-time Pay: €2.500,00 - €3.000,00 per month Work Location: Remote
#J-18808-Ljbffr
