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 at Cotiviti, specializing in AI technologies, will play a pivotal role in bridging the gap between software development and IT operations while focusing on AI-driven applications. This position encompasses the design, implementation, and maintenance of robust CI/CD pipelines, automating infrastructure management, and monitoring performance metrics to ensure system reliability and scalability. The ideal candidate will leverage their deep understanding of both development and operational aspects to streamline processes and foster efficient collaboration among teams, ultimately driving innovation and enhancing service delivery.

Job Responsibilities

• Design and implement CI/CD pipelines for AI-driven applications and systems.
• Automate provisioning and management of cloud infrastructure using Infrastructure as Code (IaC) methodologies.
• Monitor and optimize application performance, ensuring high availability and reliability.
• Collaborate with development teams to integrate AI models into production environments.
• Implement and maintain configuration management tools and practices.
• Conduct regular system performance reviews and fine-tune processes to meet expanding business needs.
• Stay current with emerging trends in DevOps and AI technologies, evaluating their relevance to the organization.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in DevOps engineering or a related field.
• Strong experience with cloud platforms (AWS, Azure, Google Cloud Platform).
• Proficient in scripting languages such as Python, Bash, or PowerShell.
• Hands-on experience with container orchestration tools like Kubernetes and Docker.
• Familiarity with AI/ML frameworks and technologies (e.g., TensorFlow, PyTorch).
• Knowledge of CI/CD tools (Jenkins, GitLab CI, CircleCI).
• Excellent problem-solving skills and a proactive attitude.

Technologies & Tools

The Sr. DevOps Engineer will utilize a range of technologies and tools to fulfill their responsibilities. This includes cloud service platforms such as AWS or Azure, automation and configuration management tools like Terraform and Ansible, containerization technologies including Docker and Kubernetes, as well as CI/CD tools like Jenkins or GitLab CI. Additionally, familiarity with AI/ML libraries such as TensorFlow and PyTorch will be essential for integrating machine learning models into pipelines and production environments.

Ideal Candidates

The ideal candidates for this position are those who possess not only a robust technical skill set but also a strong collaborative mindset. They should demonstrate creativity in solving complex problems and exhibit a passion for technology and innovation, particularly in the AI domain. Excellent communication skills, a proactive approach to process improvement, and a strong dedication to achieving project goals under tight deadlines are essential characteristics that will enable success in this role at Cotiviti.