We are seeking a highly skilled and experienced DevOps Engineer with a strong background in Python development and cloud technologies. The ideal candidate should have a minimum of 3 years of professional experience in the field of DevOps, with a focus on building and maintaining robust and scalable infrastructure solutions.

As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the development and production environments. You will collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to ensure the continuous integration and delivery of software applications.

Responsibilities:

1. Design, deploy, and manage scalable and reliable infrastructure solutions using cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
2. Develop and maintain automation scripts and tools using Python to streamline the deployment, monitoring, and management of applications and infrastructure.
3. Implement and optimize CI/CD pipelines to enable rapid and reliable software delivery.
4. Collaborate with development teams to provide support and guidance in implementing infrastructure-as-code practices and best practices for application deployment.
5. Monitor and troubleshoot production environments to ensure high availability and performance.
6. Conduct regular security audits and implement appropriate measures to safeguard the infrastructure and data.
7. Implement and maintain monitoring and logging solutions for proactive identification and resolution of issues.
8. Stay updated with the latest trends and advancements in DevOps, cloud technologies, and automation tools.
9. Participate in agile development processes and contribute to continuous improvement initiatives.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. Minimum of 3 years of professional experience as a DevOps Engineer.
3. Strong programming skills in Python and experience with scripting and automation.
4. In-depth knowledge and hands-on experience with cloud platforms like AWS, Azure, or GCP.
5. Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible.
6. Proficiency in containerization technologies like Docker and orchestration tools like Kubernetes.
7. Solid understanding of CI/CD concepts and experience with related tools like Jenkins, GitLab CI/CD, or CircleCI.
8. Familiarity with configuration management tools like Puppet, Chef, or Ansible.
9. Strong problem-solving and troubleshooting skills with a focus on automation and efficiency.
10. Excellent communication and collaboration skills to work effectively in a team-oriented environment.
11. Ability to adapt to fast-paced and dynamic work environments.

Preferred Qualifications:

1. Certification in cloud technologies such as AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer, or Google Cloud Certified - Professional Cloud DevOps Engineer.
2. Experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, or Splunk.
3. Knowledge of other programming languages like Java, Ruby, or Go.
4. Familiarity with agile methodologies such as Scrum or Kanban.