DevOps engineer with Python

We are looking for a skilled DevOps Engineer with strong expertise in Python to design, implement, and maintain scalable infrastructure, automation systems, and CI/CD pipelines. The ideal candidate will bridge development and operations by automating workflows, improving system reliability, and optimizing deployment processes.

• Design, build, and maintain CI/CD pipelines for seamless deployment
• Develop automation scripts and tools using Python
• Manage cloud infrastructure (AWS, Azure, or GCP)
• Monitor system performance and ensure high availability
• Collaborate with development teams to improve release cycles
• Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation
• Troubleshoot production issues and optimize system reliability
• Ensure security best practices across infrastructure and deployments
• Automate configuration management using tools like Ansible, Chef, or Puppet

• Strong programming skills in Python (scripting, automation, APIs)
• Solid understanding of DevOps principles and practices
• Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud)
• Familiarity with Linux/Unix systems and shell scripting
• Experience with version control systems (Git)
• Understanding of networking, security, and system architecture

• Experience with microservices architecture
• Knowledge of monitoring tools (Prometheus, Grafana, ELK stack)
• Experience with serverless architectures
• Familiarity with Agile/Scrum methodologies
• Certifications (AWS Certified DevOps Engineer, Kubernetes, etc.)