Performance Automation Engineer (Python/AI)
NetApp
About NetApp
NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.
Job Summary
We’re looking for a passionate Software Engineer to join our Performance Engineering Infrastructure team. This team builds innovative tools and automation frameworks that measure, analyze, visualize, and optimize ONTAP performance, our industry-leading storage operating system.
You’ll work in a fast-paced, agile environment where rapid prototyping, experimentation, and continuous learning are core to how we operate. If you enjoy exploring emerging technologies, and building impactful solutions using modern frameworks, we’d love to hear from you.
Job Requirements
Develop scalable, modular automation frameworks that help assess and optimize ONTAP performance.
Rapidly prototype and iterate on tools using Python and Python based frameworks (e.g. FastAPI, Django, Gradio & Streamlit)
Build intuitive dashboards and UIs to visualize performance metrics and accelerate decision-making.
Integrate GenAI and related technologies into tools and chatbots that speed-up performance analysis.
Collaborate in a highly agile, move-fast environment where experimentation and learning are encouraged.
What We’re Looking For
Strong proficiency in Python and experience with Python-based web frameworks.
Familiarity with scripting languages like Perl, Shell, or Expect is a plus.
Proven experience developing automation frameworks and performance tools for complex software systems.
Hands-on experience with GenAI (MLops, AIops), LLMs, LangChain, MCP, and other AI/ML libraries.
Working knowledge on statistics (matplotlib, plotly), generative machine learning, time-series data modeling, and data analysis would be nice to have.
Understanding of data storage systems, file systems, or ONTAP is a bonus.
Education
5+ years of relevant software engineering experience.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
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 laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
Why NetApp?
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
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.