DevOps Cloud Engineer

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

Job Overview

The DevOps Cloud Engineer at Leidos will play a pivotal role in building and maintaining cloud infrastructures, with a strong focus on automation, continuous integration, and deployment frameworks. This position requires a partner who can bridge the gap between development and operations, ensuring streamlined processes and environments that support high-quality software deployment and lifecycle management. The successful candidate will collaborate with cross-functional teams to create efficient solutions, maintain system reliability, and promote best practices in cloud computing.

Job Responsibilities

• Design, implement, and manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud.
• Automate and optimize operational processes using CI/CD tools and pipelines.
• Engage in system performance monitoring and troubleshooting to ensure reliability and uptime.
• Collaborate with software development teams to integrate DevOps practices into the CICD pipeline.
• Manage and maintain configuration management tools and processes.
• Provide support for cloud security best practices and governance compliance.
• Document and track system configurations, changes, and deployment processes.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps role or related positions.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• In-depth knowledge of cloud platforms, including AWS, Azure, or Google Cloud.
• Experience with containerization technologies such as Docker and Kubernetes.
• Strong understanding of networking and security principles in cloud environments.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

Technologies & Tools

The role of DevOps Cloud Engineer involves utilizing a variety of technologies and tools to enhance operational efficiency. Key technologies include cloud service platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. Additionally, candidates will employ automation tools such as Jenkins, Ansible, Docker, and Kubernetes, alongside monitoring solutions like Prometheus, Grafana, and ELK Stack for logging and performance tracking.

Ideal Candidates

Ideal candidates for the DevOps Cloud Engineer position will possess strong analytical and problem-solving skills and demonstrate a proactive approach to their work. They should have a collaborative mindset, effectively communicate with diverse teams, and thrive in a fast-paced environment. A commitment to continuous improvement and a passion for innovative cloud solutions will mark them as indispensable team members at Leidos.