Junior to Mid DevOps Engineer with Security Clearance

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Job Overview

A Junior to Mid DevOps Engineer at Pelagic AI plays a pivotal role in managing and enhancing our cloud infrastructure while ensuring efficient deployment of applications with an emphasis on security compliance. This position is responsible for automating processes, monitoring system performance, and collaborating with development and security teams to support production environments. The engineer will actively contribute to the design, implementation, and maintenance of DevOps practices, ensuring that robust solutions are in place for development and operation workflows in highly secure environments.

Job Responsibilities

• Design, implement, and maintain CI/CD pipelines to facilitate seamless software deployment.
• Monitor system performance and troubleshoot issues in a timely manner to ensure operational continuity.
• Collaborate with development teams to optimize applications for maximum speed and scalability.
• Implement and manage configuration management tools to automate infrastructure provisioning.
• Conduct security assessments and ensure compliance with security standards and practices.
• Participate in incident response and root cause analysis for outages and incidents.
• Document processes, system configurations, and operational workflows for knowledge sharing.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Prior experience in a DevOps or similar role, with a demonstrable understanding of software development life cycle (SDLC) principles.
• Proficiency in at least one scripting language (e.g., Python, Bash, or Ruby).
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud service providers (e.g., AWS, Azure, GCP).
• Knowledge of configuration management tools (e.g., Ansible, Puppet, Chef).
• Possession of or ability to obtain a security clearance.

Technologies & Tools

The Junior to Mid DevOps Engineer will work with a diverse set of technologies and tools, including but not limited to cloud platforms such as AWS and Azure, container orchestration with Kubernetes, automation tools like Ansible or Terraform, and CI/CD pipelines enabled through platforms such as Jenkins or GitLab CI. Familiarity with monitoring tools like Prometheus or Grafana and logging frameworks will also be essential for performance tracking and issue resolution.

Ideal Candidates

The ideal candidate for this position possesses a strong analytical mindset with an ability to solve complex problems efficiently. They demonstrate excellent communication skills and an ability to collaborate effectively with cross-functional teams. Additionally, candidates should exhibit a proactive approach to learning and adapting to new technologies, showcasing resilience and a commitment to continuous improvement in their work and the organization's DevOps practices.