16.02.2026 aktualisiert
CN
100 % verfügbar
Software Engineer with DevOps and Full-Stack Development Expertise
schmalkalden, Deutschland
Nur Remote
Master of Computer ScienceSkills
NetzwerktechnikJavaJavaScriptAgile MethodologieAmazon Web ServicesApple Mac SystemsAutomatisierungTelekommunikationC++Cloud ComputingKollaborationsplattformDatenbankenContinuous IntegrationLinuxDevOps
Full-Stack Development
Comprehensive expertise in building scalable web applications using modern frameworks including React, Node.js, Angular, Spring Boot, and various databases like MongoDB, MySQL, and PostgreSQL
DevOps and CI/CD Implementation
Advanced skills in implementing CI/CD pipelines with GitLab, Docker containerization, Kubernetes orchestration, and cloud infrastructure automation using Terraform and AWS
Cloud Infrastructure and Containerization
Proficient in AWS cloud services, Docker containerization, Kubernetes management, and infrastructure automation with proven ability to reduce deployment times and improve scalability
Programming Languages
Strong proficiency in Python, Java, JavaScript, SQL, and C/C++ with experience in building various types of applications from web to desktop
Database Management
Experience with multiple database systems including Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB for different application requirements
Version Control and Collaboration Tools
Expertise in Git version control, GitLab CI/CD, and collaborative development practices in agile team environments
Operating Systems and Virtualization
Knowledge of Linux, Windows, MacOS operating systems and virtualization technologies including KVM, VMware, and VirtualBox
Network Engineering
Background in network engineering and telecommunications with specialized knowledge in switching, routing, and wireless essentials
Comprehensive expertise in building scalable web applications using modern frameworks including React, Node.js, Angular, Spring Boot, and various databases like MongoDB, MySQL, and PostgreSQL
DevOps and CI/CD Implementation
Advanced skills in implementing CI/CD pipelines with GitLab, Docker containerization, Kubernetes orchestration, and cloud infrastructure automation using Terraform and AWS
Cloud Infrastructure and Containerization
Proficient in AWS cloud services, Docker containerization, Kubernetes management, and infrastructure automation with proven ability to reduce deployment times and improve scalability
Programming Languages
Strong proficiency in Python, Java, JavaScript, SQL, and C/C++ with experience in building various types of applications from web to desktop
Database Management
Experience with multiple database systems including Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB for different application requirements
Version Control and Collaboration Tools
Expertise in Git version control, GitLab CI/CD, and collaborative development practices in agile team environments
Operating Systems and Virtualization
Knowledge of Linux, Windows, MacOS operating systems and virtualization technologies including KVM, VMware, and VirtualBox
Network Engineering
Background in network engineering and telecommunications with specialized knowledge in switching, routing, and wireless essentials
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2024
Sprachen
ArabischMutterspracheDeutschGrundkenntnisseEnglischverhandlungssicherFranzösischMuttersprache
Projekthistorie
Developed and deployed microservices using Spring Boot, Angular, and MySQL. Automated environment provisioning with Terraform and containerized deployments using Docker and Kubernetes on AWS. Built CI/CD pipelines with GitLab, improving integration efficiency and reducing deployment time by 25%.
Developed Ansible Playbooks and integrated them into CI/CD pipelines with GitLab, reducing virtual environment setup time and configuration errors by 40%. Deployed and managed Nextcloud instances for secure, scalable file-sharing. Built dashboards to enhance monitoring and usability across automated infrastructure components.
Designed and implemented CI/CD pipelines using GitLab, reducing deployment time by 20% and minimizing errors by 30%. Enhanced the scalability of AWS-based infrastructure, leading to a 15% cost reduction while improving application performance. Automated Docker containerization processes and collaborated in an agile team to deliver a web application using React, Node.js, and MongoDB, achieving a 95% on-time delivery rate.