DevOps and Release Engineer - Drug Discovery AI

NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission.

We are seeking an experienced and highly skilled DevOps and Release Engineer to join our team. As a DevOps and Release Engineer, you will play a critical role in ensuring the smooth and efficient release of our software applications, working closely with our development, operations, and quality assurance teams.

You will be responsible for implementing and maintaining the DevOps practices, tools, and infrastructure that enable our teams to deliver high-quality software reliably and efficiently, while ensuring smooth release management and deployment processes.

Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.

What you will be doing :

• Collaborate with development, operations, and quality assurance teams to establish and maintain efficient and reliable DevOps practices, tools, and infrastructure that enable continuous integration, continuous delivery (CI / CD), and efficient software release management.
• Automate and streamline build, deployment, and release processes, including configuration management, environment provisioning, and application deployment, using infrastructure as code (IaC) tools such as Terraform.
• Manage and coordinate software releases, including versioning, branching, merging, and tagging, and ensure proper release management practices are followed.
• Monitor and fix the software development and deployment pipelines, identifying and resolving issues related to build failures, test failures, code quality, and performance, in collaboration with development, operations, and quality assurance teams.
• Collaborate with operations and security teams to ensure proper configuration and management of infrastructure resources, including containers, databases, and networking, following standard processes for security, scalability, and cost optimization.
• Monitor and lead production environments, including log analysis, performance monitoring, and incident response, to ensure high availability and reliability of software applications.
• Stay up-to-date with the latest advancements in DevOps tools, technologies, and standard methodologies, and provide recommendations for continuous improvement of our software development and deployment processes.

What we need to see :

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Minimum of 3 years relevant experience.
• Proven experience as a DevOps and Release Engineer, with a focus on implementing and maintaining DevOps practices, tools, and infrastructure.
• Strong programming and scripting skills in languages such as Python, Java, Shell, or PowerShell, and proficiency in version control systems such as Git or Subversion.
• Experience with continuous integration and continuous delivery (CI / CD) pipelines using tools such as Jenkins, GitLab, or Travis CI, and familiarity with build and dependency management tools.
• Knowledge of infrastructure as code (IaC) tools and concepts, including Terraform, and experience with cloud computing platforms.
• Familiarity with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
• Strong understanding of software testing principles, including unit testing, integration testing, and end-to-end testing, and experience with automated testing frameworks and tools.
• Knowledge of release management practices, including versioning, branching, merging, and tagging, and experience with release management tools and processes.
• Knowledge of networking, virtualization, and operating system concepts, and experience with managing virtual machines, containers, databases, and networking in cloud and on-premises environments.

Ways To Stand Out From The Crowd :

• Experience with Triton Inference Server, inferring Deep Learning models and machine learning.
• Familiarity with DevOps practices, including version control, automated testing.
• Experience working with Drug Discovery pipelines / workflows and processes.

The base salary range is 176,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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