Nvidia Senior DevOps Engineer 

United States, California 

116011606

What you’ll be doing:

• Craft the overall architecture for integrating coding assistance & Trustworthy AI tools into the existing infrastructure, ensuring alignment with reliable, scalable, and secure standard methodologies. Design for scalability, ensuring the implementation can support current and future workloads without degrading system performance

• Identify and automate repetitive or toilsome production tasks related to code deployment, validation, and review, leveraging coding assistance tools to improve operational efficiency

• Implement robust monitoring and observability for codingassistance/TrustworthyAI tools & application services, ensuring their availability and performance within the production environment

• Integrate security best practices throughout the development lifecycle, ensuring coding assistance tools do not introduce vulnerabilities or compliance risks

• Collaborate closely with software engineers, product teams and security teams to align the codingassistance/TrustworthyAI tool’s capabilities with organizational goals and developer needs. Establish feedback mechanisms to gather insights from developers, product/engineering teams on the effectiveness of codingassistance/TrustworthyAI tools, iterating on integrations and configurations for continuous improvement

• Maintain comprehensive documentation for architecture decisions, integration processes, operational runbooks, and troubleshooting guides

What we need to see:

• Kubernetes domain expertise with extensive experience building scalable, resilient platforms in both public and private cloud capable of providing platform engineering / architecture standard methodologies (including experience with architecting and implementing the overall platform, administration & configuration, orchestration, security, and monitoring ecosystem). Experience of maintaining cloud infrastructure (On-prem & CSP) and highly available production environment.

• Strong Programming background in python and/or similar scripting languages. Excellent problem solving, communication, and teamwork skills

• Strong understanding of architectural requirements and development processes involved in building reliable, robust, scalable data products and pipelines.

• Demonstrating the ability to automate processes using Continuous Integration /Continuous Delivery (CI/CD) tools. Proficient in using Configuration as Code,infrastructure-as-codetools such as ansible, puppet, chef & terraform. Strong background with Gitlab, GitHub, Perforce, Jenkins and/or other CI/CD systems & Artifactory.

• Experienced with dataanalytics/visualization& monitoring tools like Kibana, Grafana, Splunk, Zabbix, Prometheus and/or similar systems etc. Experience in Databases both SQL (MySQL) and NoSQL (Elastic Search /MongoDB/Cassandra).

• 10+ years of proven experience with Bachelor’s or Master’s degree in computer science, Software Engineering, or equivalent experience

Ways to stand out from the crowd:

• Solid understanding of containerization and microservices architecture. Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) & Certified Kubernetes Application Developer (CKAD) preferred.

• Prior experience on implementation and management of Trustworthy AI tools (QuantPi, Credo AI, Armilla AI) , Coding Assistance AI tools (Cursor, Sourcegraph Cody) & code review AI tools (CodeRabbit)

• Thrives in a multi-tasking environment with constantly evolving priorities.

• Ability to analyze complex problems into simple sub problems and then reuse available solutions to implement most of those. Ability to design simple systems that can work efficiently without needing much support.

• Prior experience with large scale operations team. Experience with using and improving data centers. Background with computer algorithms and ability to choose the best possible algorithms to meet the scaling challenge.