NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is hiring a Senior DevOps Engineer within the Finance AI and Data Science team. Your role will include workspace administration, data and application security, and software deployments and updates. You will partner with data scientists, data engineers, AI developers, finance, IT, and third-party vendors to deliver and administer foundational software enabling an ai-native finance organization.
What you’ll be doing:
Develop and apply tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Develop and maintain CI/CD pipelines to automate and streamline deployment processes. Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Assess vendors and internal solutions for the best-in-class data security required in the finance domain. Lead POC’s and deployments of vendor and internally developed software for use by the finance organization.
Serve as a technical resource, developing and sharing standard processes with internal teams.
Collaborate with different software, IT, Security and hardware teams across geographies for solving critical problems and performance issues
What we need to see:
8+ years of experience in DevOps or related roles.
Databricks experience, preferably including workspace administration.
Experience with VPC deployments, preferably AWS. Certifications are a plus.
Experience in writing programs using Python. Good background in scripting (Bash, Ruby, Groovy) in Unix/Linux environment.
BS/MS or equivalent experience in Computer Science, Information Systems, Software Engineering, or related field (or equivalent experience).
Excellent communication skills and experience working directly with business partners.
Ways to stand out from the crowd:
Good knowledge of virtualization in Linux (QEMU/KVM), Container orchestration with Kubernetes.
Experience with data compliance regulations and requirements, including PII data handling and ITGC/SOX controls.
Experience with AI security and solution deployment.
Teaching or mentoring experience in technical domains, enthusiasm for exploring and implementing new technologies, and creative problem-solving skills.
Strong interest in groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
