Sr. DevOps Engineer - AI

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

Job Overview

The Sr. DevOps Engineer - AI at Cotiviti is responsible for leading the design, implementation, and maintenance of scalable infrastructure and automation pipelines that support advanced artificial intelligence applications. The role demands collaboration with software engineers, data scientists, and other stakeholders to deliver high-quality solutions while ensuring security, reliability, and performance. This position will leverage cutting-edge technologies to drive continuous integration and deployment practices, manage cloud resources, and enhance operational efficiencies within a dynamic work environment.

Job Responsibilities

• Design and implement CI/CD pipelines for AI applications and services.
• Manage cloud infrastructure solutions to support large-scale data processing tasks.
• Collaborate with software engineers and data scientists to integrate AI models into production systems.
• Monitor system performance and troubleshoot issues in real-time, ensuring high availability.
• Automate infrastructure provisioning and configuration management using scripts and tools.
• Implement security best practices to safeguard systems and sensitive data.
• Participate in code reviews and technical discussions to promote quality and innovation.
• Document processes, architecture, and configurations for reference and compliance purposes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred.
• A minimum of 5 years of experience in DevOps engineering or related fields.
• Strong understanding of software development lifecycle and agile methodologies.
• Proficiency in scripting languages such as Python, Bash, or Ruby.
• Extensive experience with cloud platforms (AWS, Azure, or Google Cloud).
• Knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with infrastructure as code tools (Terraform, CloudFormation).
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).

Technologies & Tools

The Sr. DevOps Engineer will utilize a variety of technologies and tools essential for the role, including AWS or Azure cloud services, Docker and Kubernetes for container management, Terraform for infrastructure as code, and CI/CD tools like Jenkins or GitLab CI. Additionally, the role demands familiarity with monitoring and logging frameworks such as Prometheus, Grafana, and ELK stack to ensure system reliability and performance.

Ideal Candidates

Ideal candidates for the Sr. DevOps Engineer - AI role are innovative problem solvers with a passion for automation and efficiency. They should possess strong analytical skills, a deep understanding of cloud technologies, and a collaborative mindset to work effectively within cross-functional teams. The ability to adapt to changing technologies and project requirements, along with a commitment to quality and security, are crucial traits for success in this position.