About the job
We are seeking a Performance Automation Software Engineer to design, build, and maintain internal software tools used to measure, analyze, and improve the performance of NetApp’s ONTAP™ storage operating system. In this role you will also work to connect Performance Engineering with AI by leveraging GenAI and related technologies to modernize existing automation tools and processes.
Responsibilities
Develop and maintain automation frameworks used for system performance measurement and validation
Implement features and enhancements through the full software lifecycle: design, coding, testing, and support
Diagnose and resolve issues in existing automation tools and workflows
Leverage Generative AI technologies to improve performance debugging, log analysis, and data interpretation
Build and maintain clear, user friendly dashboards for performance metrics
Collaborate with performance engineers and senior developers to deliver reliable, scalable solutions
Communicate status, risks, and technical findings clearly to team members and stakeholders
Qualifications
Minimum
Strong understanding of computer science fundamentals, including data structures and software design
5+ years of Python experience, building maintainable large applications using frameworks such as FastAPI, Django, or Flask
Experience developing automation frameworks or test infrastructure for performance measurement
Hands on experience with REST APIs development and service based architectures
Exposure to Generative AI / LLM integrations (e.g., LangChain, LlamaIndex, OpenAI APIs)
Practical experience with Docker and CI/CD pipelines; Kubernetes experience is a plus
Experience with SQL or NoSQL databases; interest in vector databases is a plus
Solid object oriented programming skills (beyond scripting)
Preferred
Kubernetes experience is a plus
Interest in vector databases is a plus