Senior Systems Engineer, Storage - DGX Cloud

About the role

Systems Engineering is an engineering discipline focused on building, automating, and operating the platforms and tooling that deliver large-scale production systems with high efficiency, reliability, and velocity. It combines software and systems engineering practices across infrastructure automation, containerized platforms, storage, telemetry, and observability. Systems engineers are highly specialized and possess expertise across domains such as Kubernetes and container orchestration, infrastructure-as-code, CI/CD, storage systems, monitoring, and analytical troubleshooting. Their responsibilities center on deploying and operating reliable, automated platforms and on building the tools and services that keep storage and data infrastructure healthy and performant.

Responsibilities

• Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them.
• Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations.
• Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable.
• Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure.
• Work closely with peers and partner teams to improve the lifecycle of services, from inception and design through deployment, operation, and refinement.
• Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity.
• Support services before they go live through activities such as deployment automation, capacity planning, and launch and readiness reviews.
• Practice sustainable incident response and postmortems, and participate in an on-call rotation to support production systems.

Requirements

• BS degree (or equivalent experience) in Computer Science or related technical field involving coding.
• 12+ years of practical experience.
• Hands-on experience with Kubernetes – deploying, configuring, and operating workloads and solutions on Kubernetes in production.
• Experience building tools and services for storage, data, or platform infrastructure, with solid software design fundamentals (algorithms, data structures, complexity analysis) on large-scale Linux-based systems.
• Experience building and operating telemetry and observability using tools such as Prometheus, InfluxDB, Grafana, and the Elastic stack.
• Strong analytical troubleshooting skills with a systematic, root-cause-driven approach to identifying and resolving complex problems.
• Proficiency in one or more of the following: Python, Go, or Java.
• Good knowledge of infrastructure configuration management and infrastructure-as-code tools such as Ansible, Chef, Puppet, ArgoCD, Git Pipelines, and Terraform.

Qualifications

• Customer-first mindset with a focus on customer satisfaction and a passion for ensuring customer success.
• Experience with Git, code review, pipelines, and CI/CD.
• Experience using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker.
• Interest in crafting, analyzing, and fixing large-scale distributed systems, with strong debugging skills and a systematic problem-solving approach.
• Experience designing storage- or data-focused tooling and automating their operations at scale.
• Thriving in collaborative environments and enjoying working with various teams, and being flexible in adapting to different working styles.

Skills

• Strong analytical troubleshooting skills with a systematic, root-cause-driven approach to identifying and resolving complex problems.
• Proficiency in one or more of the following: Python, Go, or Java.
• Good knowledge of infrastructure configuration management and infrastructure-as-code tools such as Ansible, Chef, Puppet, ArgoCD, Git Pipelines, and Terraform.

Benefits

• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you!

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6.

Schedule

You will also be eligible for equity and benefits.

Application Instructions

Applications for this job will be accepted at least until July 9, 2026. This posting is for an existing vacancy.

About NVIDIA

NVIDIA is committed to fostering an inclusive 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.