Educational Qualification: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience: • 12+ Years
Brief Job Description
Systems & Infrastructure:
• Extensive experience with Ubuntu/Debian/RHEL/CentOS and Windows Server environments, including large-scale enterprise deployments.
• Advanced proficiency with LAMP stack and IIS across complex development, staging, and production environments.
• Proven track record managing, optimizing, and securing high-performance applications in dynamic, enterprise-level ecosystems.
• Expert-level scripting capabilities in Python, PowerShell, Bash/Shell, and Perl for task automation and system management.
• Senior systems administration experience in hybrid environments, managing both physical and virtual Linux and Windows servers.
• Proficiency with advanced monitoring and alerting systems, such as Nagios and Zabbix, to ensure high availability.
• Extensive knowledge of additional technologies like Redis, RabbitMQ, Git, and REST APIs, with practical, real-world application experience.
Containerization & Orchestration:
• Deep expertise in containerization and orchestration technologies, specifically Docker, Kubernetes, and Azure Service Fabric.
• Experienced in architecting, deploying, and managing complex containerized applications using Docker Swarm and Kubernetes in cloud-based environments.
DevOps & CI/CD:
• In-depth experience with DevOps tools, including AWS Code Commit, AWS Code Deploy, Azure DevOps Server, and Microsoft Release.
• Extensive knowledge of CI/CD pipelines, including hands-on work with tools like Jenkins, Hudson, and UDeploy for seamless application delivery.
• Senior-level experience in configuration management using Ansible, Docker, and automation of build/release processes.
• Familiarity with package management systems such as NPM, PIP, NuGet, Maven, and Docker Registry
Cloud & Automation:
• Expertise in cloud platforms, particularly Azure, with a focus on optimizing and scaling enterprise-level infrastructures.
• Skilled in automating cloud services and infrastructure provisioning, improving overall system resilience, and reducing operational overhead.
• Demonstrated success in leading cloud transformation initiatives within complex, large-scale infrastructure environments.