Dev Ops Software Engineer - Cuda-Q team

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

Overview

The Dev Ops Software Engineer for the Cuda-Q team at NVIDIA will play a pivotal role in enhancing and maintaining the operations for our next-generation quantum computing software. The successful candidate will collaborate with diverse teams to streamline deployment pipelines, increase operational efficiency, and ensure the reliability and performance of our systems. This position requires a deep understanding of both software development and operations, applying best practices and innovative solutions to support NVIDIA's commitment to game-changing technologies.

Job Responsibilities

• Design and implement CI/CD pipelines to automate builds, testing, and deployment.
• Monitor system performance and troubleshoot issues to maintain high availability and reliability.
• Collaborate with software engineers to optimize code for performance and scalability.
• Develop and manage infrastructure as code using modern configuration management tools.
• Conduct regular system audits and vulnerability assessments to ensure security compliance.
• Provide technical guidance and best practices for development teams in cloud and on-premise infrastructures.
• Participate in capacity planning and performance tuning for various applications and services.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4+ years of experience in DevOps, System Administration, or Software Engineering roles.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or equivalent.
• Solid understanding of containerization technologies like Docker and orchestration tools such as Kubernetes.
• Familiarity with cloud service providers (e.g., AWS, Azure, GCP) and their services.
• Knowledge of monitoring tools like Prometheus, Grafana, or equivalent.

Technologies & Tools

The position utilizes a variety of technologies and tools essential for efficient DevOps practices. Key tools include containerization platforms like Docker, orchestration using Kubernetes, CI/CD tools such as Jenkins and GitLab CI, and cloud services from AWS and Azure. Additionally, version control systems like Git and configuration management frameworks are employed to maintain seamless code deployment and infrastructure as code capabilities.

Ideal Candidates

The ideal candidates for the Dev Ops Software Engineer role are proactive problem solvers with a passion for innovation and a strong technical foundation. They should possess excellent communication skills, allowing for effective collaboration across disciplines. A keen eye for detail and a commitment to continuous improvement are essential traits, alongside a strong desire to engage with emerging technologies in quantum computing. Adaptability and a team-oriented mindset are crucial to thrive within NVIDIA’s dynamic and fast-paced environment.