Design, build, and maintain scalable, secure, and reliable infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Develop and optimize continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient and automated code delivery.
Automate repetitive tasks and processes across the development and deployment lifecycle, focusing on increasing productivity and reducing manual errors.
Implement and manage monitoring, logging, and alerting solutions to ensure system health and performance, enabling proactive identification and resolution of issues.
Implement and enforce security best practices across infrastructure and deployment pipelines, ensuring compliance with industry standards.
Manage and optimize cloud resources, ensuring cost-effective use of services while maintaining high availability and performance.
continuously monitor system performance and implement optimizations to improve speed, reliability, and efficiency.
Lead and coordinate incident response efforts, ensuring timely resolution of issues and post-mortem analysis to prevent future occurrences.
Work closely with development, QA, and security teams to ensure seamless integration of DevOps practices across the entire software development lifecycle (SDLC)
Requirements
Bachelor degree in Computer Science, Engineering or a related subject.
A Minimum of 4 years of experience in a DevOps role, with a strong focus on automation, infrastructure as code, and CI/CD pipeline management.
Proficiency in cloud platforms (AWS, Google Cloud, Azure), containerization (Docker, Kubernetes), and scripting languages (Bash, Python).
Experience with Terraform, Ansible, Jenkins, Git, and monitoring tools like Prometheus, Grafana, or ELK stack.
Strong understanding of security best practices, compliance requirements, and DevSecOps principles.
Excellent analytical and problem-solving skills, with a proactive approach to identifying and addressing potential issues.
Familiarity with managing and optimizing databases (e.g., MySQL, PostgreSQL, NoSQL).
