We're looking for a Site Reliability Engineer, focused on building and operating the data and AI/ML infrastructure platform that powers NetApp's cloud-native data services. You'll work at the intersection of software engineering and infrastructure operations — designing systems for reliability, driving automation, and ensuring our platforms meet the highest availability standards for customers worldwide.
This is an infrastructure-focused SRE role, you'll own the reliability of large-scale Kubernetes clusters (including GPU workloads), streaming data pipelines (Kafka), and analytical compute infrastructure (Spark, Dremio) across hybrid-cloud and multi-cloud environments.
Job Requirements
5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering roles
Extensive experience with Linux (RHEL/CentOS), including shells, filesystems, kernel tuning, networking, and performance optimization
Deep expertise with Kubernetes at scale, including cluster administration, troubleshooting, networking, storage, RBAC, and lifecycle management (on-premises and Rancher Kubernetes)
Hands-on experience operating GPU workloads on Kubernetes, including NVIDIA GPU Operator, device plugins, scheduling, and resource management
Strong experience managing Confluent Kafka in production, including operations, monitoring, performance tuning, and disaster recovery
Experience operating Apache Spark and/or Dremio, including cluster management, job scheduling, scaling, and performance optimization
Proficiency in Infrastructure as Code using Terraform, Helm, and GitOps workflows with ArgoCD/FluxCD
Proficiency in scripting and automation using Shell, Ansible, and Python, with a strong automation-first mindset
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Experience with scheduling and orchestration tools such as cron jobs and Apache Airflow
Deep familiarity with monitoring and observability tools, including Dynatrace, Grafana, and Prometheus
Solid understanding of SQL and NoSQL databases, including operations, backup, and monitoring
Experience designing and maintaining CI/CD pipelines and release processes
Expertise in AWS cloud platforms and hybrid-cloud integration
Strong systems thinking, with an understanding of how infrastructure design choices impact failure modes, scalability, and recovery
Strong incident management skills and post-mortem facilitation experience
Excellent written communication skills for design documents, runbooks, post-mortems, and operational documentation
Nice to Have
Knowledge of Generative AI tools and frameworks, including the application of AI-based predictive analytics and automation in infrastructure operations
Familiarity with ML platforms such as Kubeflow, MLflow, and Ray, as well as AI/ML training infrastructure
Experience with Kafka Streams, ksqlDB, or Apache Flink
Education
5-8 years of relevant experience.
Bachelor of Science Degree in Computer Science, Electrical Engineering, or a related field; a Master’s Degree is preferred.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.
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