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.

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

• A 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.
• Thrives in collaborative environments and enjoys working with various teams, and is flexible in adapting to different working styles.

Skills

• Strong analytical troubleshooting skills.
• Proficiency in one or more programming languages (Python, Go, Java).
• Experience with infrastructure configuration management and infrastructure-as-code tools.
• Experience with large-scale Linux-based systems.
• Experience with telemetry and observability tools (Prometheus, InfluxDB, Grafana, Elastic Stack).
• Experience with Git, code review, pipelines, and CI/CD.
• Experience with Kubernetes, OpenStack, and Docker.
• Experience with large private and public cloud systems.
• Experience with large-scale distributed systems.

Benefits

• Competitive base salary ranging from $208,000 to $333,500 for Level 5, and from $256,000 to $414,000 for Level 6.
• Eligibility for equity and benefits.

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 - $333,500 for Level 5, and $256,000 - $414,000 for Level 6.

Schedule

NVIDIA uses AI tools in its recruiting processes. 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.