DevOps Software Engineer

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Written by AI from the job title and company, not by Oracle, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a DevOps Software Engineer at Oracle, you will play a critical role in enhancing our operational efficiency, automating systems, and ensuring seamless deployment of applications. You will collaborate closely with development and operations teams to bridge gaps in our processes, implement infrastructure as code, and optimize our CI/CD pipelines. Your technical expertise will directly contribute to the reliability and scalability of our software systems while promoting a culture of innovation and continuous improvement.

Job Responsibilities

• Design and implement automated deployment processes using CI/CD methodologies.
• Manage cloud infrastructure and services to ensure high availability and performance.
• Collaborate with software development teams to define and implement infrastructure as code.
• Monitor system performance and troubleshoot incidents to maintain optimal service levels.
• Develop and maintain tools for automated testing, configuration management, and system monitoring.
• Participate in on-call rotation to address urgent operational issues as needed.
• Continuously evaluate and improve deployment processes and tools to enhance efficiency.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a DevOps, system administration, or engineering role.
• Proven experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of containerization technologies, specifically Docker and Kubernetes.
• Experience with scripting and programming languages such as Python, Bash, or Java.
• Familiarity with configuration management tools like Ansible, Puppet or Chef.
• Solid understanding of networking, security, and system design principles.

Technologies & Tools

In this role, you will work with a variety of technologies and tools including cloud services (AWS, Azure, Google Cloud), container orchestration systems (Kubernetes, Docker), configuration management tools (Ansible, Puppet), and CI/CD tools (Jenkins, GitLab CI). Familiarity with monitoring and logging tools such as Prometheus and ELK Stack is also essential to ensure system reliability and performance.

Ideal Candidates

The ideal candidates for this position will possess strong analytical and problem-solving skills, with a passion for automation and optimizing processes. They should demonstrate excellent collaboration and communication abilities to work effectively with cross-functional teams. A proactive attitude towards learning and adapting to new technologies will be crucial, along with a commitment to delivering high-quality solutions that meet business needs.