Title:  Performance Automation Engineer

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.