DevOps Engineer with Python/Shell Scripting
Role and responsibilities:The DevOps Engineer is responsible for designing, implementing, and maintaining scalable, secure, and highly available infrastructure and platform services across Linux-based environments. This role combines DevOps best practices with hands-on expertise in Python and Shell scripting, infrastructure automation, CI/CD pipeline development, container orchestration, observability, and monitoring. The engineer will work closely with development and operations teams to streamline software delivery, enhance system reliability, and optimize deployment processes using tools such as GitHub Actions, Jenkins, Docker, and Kubernetes. Additionally, this role contributes to the development of AI-powered solutions and ensures production environments are performant, resilient, and aligned with operational excellence standards.Your RoleDrive DevOps automation initiatives by designing, developing, and maintaining solutions using Python and Shell scripting to improve operational efficiency and reliability. Build, manage, and optimize DevOps CI/CD pipelines using GitHub Actions, Jenkins, Git, Docker, and Kubernetes to enable seamless software delivery and deployment. Implement DevOps best practices for monitoring, observability, troubleshooting, and performance optimization across Linux/Unix-based environments. Collaborate with engineering and cross-functional teams to deliver scalable, highly available DevOps and AI-powered solutions, ensuring system stability, security, and operational excellence. Your Skills And ExperienceMinimum 5 years of DevOps experience, including hands-on Python development and Shell scripting in Linux/Unix environments. Experience building CI/CD pipelines using: GitHub Actions / Jenkins or similar. Strong hands-on experience with Python Development (not limited to test automation) Shell scripting (Bash), Git and GitHub and Linux environments. Experience with container technologies such as Docker and Kubernetes. Experience in Observability & Monitoring toolsHands-on experience designing and implementing AI-powered software solutions. Operating in a Linux/Unix environment, including basic system configuration and scripting. Designing and building systems for highly available multi-site deployment environments, a solid understanding of the network architectures that support such systems, and familiarity with techniques for tuning application performance. Strong English communications skills, with the ability to clearly, concisely, and accurately describe advanced technical concepts to diverse audiences.